langchain-community API reference

400 public APIs from langchain-community (langchain-ai/langchain-community) — 187 classes, 34 functions, 179 methods. Signatures extracted by static analysis of the actual source.

Repository: langchain-ai/langchain-community

Kind	Count
Classes	187
Functions	34
Methods	179

API list

classlibs.community.langchain_community.adapters.openai.Chat

Chat.

classlibs.community.langchain_community.adapters.openai.ChatCompletion

Chat completion.

classlibs.community.langchain_community.adapters.openai.ChatCompletionChunk

Chat completion chunk.

classlibs.community.langchain_community.adapters.openai.ChatCompletions

Chat completions.

classlibs.community.langchain_community.adapters.openai.Choice

Choice.

classlibs.community.langchain_community.adapters.openai.ChoiceChunk

Choice chunk.

classlibs.community.langchain_community.adapters.openai.Completions

Completions.

func

libs.community.langchain_community.adapters.openai.aenumerate(iterable:AsyncIterator[Any], start:int=0) -> AsyncIterator[tuple[int, Any]]

Async version of enumerate function.

funclibs.community.langchain_community.adapters.openai.convert_dict_to_message(_dict:Mapping[str, Any]) -> BaseMessage

Convert a dictionary to a LangChain message.

funclibs.community.langchain_community.adapters.openai.convert_message_to_dict(message:BaseMessage) -> dict

Convert a LangChain message to a dictionary.

classlibs.community.langchain_community.agent_toolkits.azure_ai_services.AzureAiServicesToolkit

Toolkit for Azure AI Services.

classlibs.community.langchain_community.agent_toolkits.clickup.toolkit.ClickupToolkit

Clickup Toolkit.

methodlibs.community.langchain_community.agent_toolkits.clickup.toolkit.ClickupToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.cogniswitch.toolkit.CogniswitchToolkit

Toolkit for CogniSwitch.

classlibs.community.langchain_community.agent_toolkits.github.toolkit.GitHubToolkit

GitHub Toolkit.

methodlibs.community.langchain_community.agent_toolkits.github.toolkit.GitHubToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.gitlab.toolkit.GitLabToolkit

GitLab Toolkit.

methodlibs.community.langchain_community.agent_toolkits.gitlab.toolkit.GitLabToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.gmail.toolkit.GmailToolkit

Toolkit for interacting with Gmail.

methodlibs.community.langchain_community.agent_toolkits.gmail.toolkit.GmailToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.jira.toolkit.JiraToolkit

Jira Toolkit.

methodlibs.community.langchain_community.agent_toolkits.jira.toolkit.JiraToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.json.toolkit.JsonToolkit

Toolkit for interacting with a JSON spec.

methodlibs.community.langchain_community.agent_toolkits.json.toolkit.JsonToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.nasa.toolkit.NasaToolkit

Nasa Toolkit.

methodlibs.community.langchain_community.agent_toolkits.nasa.toolkit.NasaToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.nla.tool.NLATool

Natural Language API Tool.

classlibs.community.langchain_community.agent_toolkits.nla.toolkit.NLAToolkit

Natural Language API Toolkit.

methodlibs.community.langchain_community.agent_toolkits.office365.toolkit.O365Toolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.openapi.spec.ReducedOpenAPISpec

A reduced OpenAPI spec.

func

libs.community.langchain_community.agent_toolkits.openapi.spec.reduce_openapi_spec(spec:dict, dereference:bool=True) -> ReducedOpenAPISpec

Simplify/distill/minify a spec somehow.

classlibs.community.langchain_community.agent_toolkits.openapi.toolkit.RequestsToolkit

Toolkit for making REST requests.

methodlibs.community.langchain_community.agent_toolkits.openapi.toolkit.RequestsToolkit.get_tools() -> List[BaseTool]

Return a list of tools.

classlibs.community.langchain_community.agent_toolkits.polygon.toolkit.PolygonToolkit

Polygon Toolkit.

methodlibs.community.langchain_community.agent_toolkits.polygon.toolkit.PolygonToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.slack.toolkit.SlackToolkit

Toolkit for interacting with Slack.

methodlibs.community.langchain_community.agent_toolkits.slack.toolkit.SlackToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

methodlibs.community.langchain_community.agent_toolkits.spark_sql.toolkit.SparkSQLToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.steam.toolkit.SteamToolkit

Steam Toolkit.

methodlibs.community.langchain_community.agent_toolkits.steam.toolkit.SteamToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agent_toolkits.zapier.toolkit.ZapierToolkit

Zapier Toolkit.

methodlibs.community.langchain_community.agent_toolkits.zapier.toolkit.ZapierToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

classlibs.community.langchain_community.agents.openai_assistant.base.OpenAIAssistantV2Runnable

Run an OpenAI Assistant.

method

libs.community.langchain_community.agents.openai_assistant.base.OpenAIAssistantV2Runnable.ainvoke(input:dict, config:Optional[RunnableConfig]=None, **kwargs:Any) -> OutputType

Async invoke assistant.

method

libs.community.langchain_community.agents.openai_assistant.base.OpenAIAssistantV2Runnable.invoke(input:dict, config:Optional[RunnableConfig]=None, **kwargs:Any) -> OutputType

Invoke the assistant.

classlibs.community.langchain_community.cache.AsyncRedisCache

Cache that uses Redis as a backend.

methodlibs.community.langchain_community.cache.AsyncRedisCache.aclear(**kwargs:Any) -> None

Clear cache.

method

libs.community.langchain_community.cache.AsyncRedisCache.alookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.AsyncRedisCache.aupdate(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

methodlibs.community.langchain_community.cache.AsyncRedisCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.AsyncRedisCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.AsyncRedisCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

classlibs.community.langchain_community.cache.AzureCosmosDBNoSqlSemanticCache

Cache that uses Cosmos DB NoSQL backend

methodlibs.community.langchain_community.cache.AzureCosmosDBNoSqlSemanticCache.clear(**kwargs:Any) -> None

Clear semantic cache for a given llm_string.

method

libs.community.langchain_community.cache.AzureCosmosDBNoSqlSemanticCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt.

methodlibs.community.langchain_community.cache.CassandraCache.aclear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.CassandraCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.CassandraCache.delete(prompt:str, llm_string:str) -> None

Evict from cache if there's an entry.

classlibs.community.langchain_community.cache.GPTCache

Cache that uses GPTCache as a backend.

methodlibs.community.langchain_community.cache.GPTCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.GPTCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up the cache data.

methodlibs.community.langchain_community.cache.GPTCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache.

classlibs.community.langchain_community.cache.InMemoryCache

Cache that stores things in memory.

methodlibs.community.langchain_community.cache.InMemoryCache.aclear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.InMemoryCache.alookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.InMemoryCache.aupdate(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

methodlibs.community.langchain_community.cache.InMemoryCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.InMemoryCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.InMemoryCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

methodlibs.community.langchain_community.cache.MemcachedCache.clear(**kwargs:Any) -> None

Clear the entire cache.

methodlibs.community.langchain_community.cache.MemcachedCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.MemcachedCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

classlibs.community.langchain_community.cache.MomentoCache

Cache that uses Momento as a backend.

methodlibs.community.langchain_community.cache.MomentoCache.clear(**kwargs:Any) -> None

Clear the cache.

method

libs.community.langchain_community.cache.MomentoCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Store llm generations in cache.

methodlibs.community.langchain_community.cache.OpenSearchSemanticCache.clear(**kwargs:Any) -> None

Clear semantic cache for a given llm_string.

method

libs.community.langchain_community.cache.OpenSearchSemanticCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

classlibs.community.langchain_community.cache.RedisCache

Cache that uses Redis as a backend.

methodlibs.community.langchain_community.cache.RedisCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.RedisCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.RedisCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

methodlibs.community.langchain_community.cache.RedisSemanticCache.clear(**kwargs:Any) -> None

Clear semantic cache for a given llm_string.

method

libs.community.langchain_community.cache.RedisSemanticCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.RedisSemanticCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

classlibs.community.langchain_community.cache.SQLAlchemyCache

Cache that uses SQAlchemy as a backend.

methodlibs.community.langchain_community.cache.SQLAlchemyCache.clear(**kwargs:Any) -> None

Clear cache.

methodlibs.community.langchain_community.cache.SQLAlchemyCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.SQLAlchemyCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update based on prompt and llm_string.

classlibs.community.langchain_community.cache.SQLAlchemyMd5Cache

Cache that uses SQAlchemy as a backend.

methodlibs.community.langchain_community.cache.SQLAlchemyMd5Cache.clear(**kwargs:Any) -> None

Clear cache.

method

libs.community.langchain_community.cache.SQLAlchemyMd5Cache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.SQLAlchemyMd5Cache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update based on prompt and llm_string.

classlibs.community.langchain_community.cache.SQLiteCache

Cache that uses SQLite as a backend.

classlibs.community.langchain_community.cache.SingleStoreDBSemanticCache

Cache that uses SingleStore DB as a backend

methodlibs.community.langchain_community.cache.SingleStoreDBSemanticCache.clear(**kwargs:Any) -> None

Clear semantic cache for a given llm_string.

method

libs.community.langchain_community.cache.SingleStoreDBSemanticCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

classlibs.community.langchain_community.cache.UpstashRedisCache

Cache that uses Upstash Redis as a backend.

methodlibs.community.langchain_community.cache.UpstashRedisCache.clear(**kwargs:Any) -> None

Clear cache.

method

libs.community.langchain_community.cache.UpstashRedisCache.lookup(prompt:str, llm_string:str) -> Optional[RETURN_VAL_TYPE]

Look up based on prompt and llm_string.

method

libs.community.langchain_community.cache.UpstashRedisCache.update(prompt:str, llm_string:str, return_val:RETURN_VAL_TYPE) -> None

Update cache based on prompt and llm_string.

classlibs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler

Callback Handler that logs to Aim.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_agent_action(action:AgentAction, **kwargs:Any) -> Any

Run on agent action.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Run when agent ends running.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_chain_end(outputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain ends running.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_chain_error(error:BaseException, **kwargs:Any) -> None

Run when chain errors.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_chain_start(serialized:Dict[str, Any], inputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain starts running.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_llm_end(response:LLMResult, **kwargs:Any) -> None

Run when LLM ends running.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Run when LLM errors.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_llm_new_token(token:str, **kwargs:Any) -> None

Run when LLM generates a new token.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_llm_start(serialized:Dict[str, Any], prompts:List[str], **kwargs:Any) -> None

Run when LLM starts.

methodlibs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Run when agent is ending.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_tool_end(output:Any, **kwargs:Any) -> None

Run when tool ends running.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_tool_error(error:BaseException, **kwargs:Any) -> None

Run when tool errors.

method

libs.community.langchain_community.callbacks.aim_callback.AimCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Run when tool starts running.

method

libs.community.langchain_community.callbacks.argilla_callback.ArgillaCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Do nothing

method

libs.community.langchain_community.callbacks.argilla_callback.ArgillaCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Do nothing when LLM outputs an error.

method

libs.community.langchain_community.callbacks.argilla_callback.ArgillaCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Do nothing

method

libs.community.langchain_community.callbacks.argilla_callback.ArgillaCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Do nothing when tool starts.

classlibs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler

Callback Handler that logs to Arize.

method

libs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler.on_agent_action(action:AgentAction, **kwargs:Any) -> Any

Do nothing.

method

libs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler.on_chain_end(outputs:Dict[str, Any], **kwargs:Any) -> None

Do nothing.

method

libs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler.on_chain_error(error:BaseException, **kwargs:Any) -> None

Do nothing.

method

libs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Do nothing.

method

libs.community.langchain_community.callbacks.arize_callback.ArizeCallbackHandler.on_llm_new_token(token:str, **kwargs:Any) -> None

Do nothing.

methodlibs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.analyze_text(text:str) -> dict

Analyze text using textstat and spacy.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_agent_action(action:AgentAction, **kwargs:Any) -> Any

Run on agent action.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Run when agent ends running.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_chain_end(outputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain ends running.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_chain_error(error:BaseException, **kwargs:Any) -> None

Run when chain errors.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_chain_start(serialized:Dict[str, Any], inputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain starts running.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_llm_end(response:LLMResult, **kwargs:Any) -> None

Run when LLM ends running.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Run when LLM errors.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_llm_new_token(token:str, **kwargs:Any) -> None

Run when LLM generates a new token.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_llm_start(serialized:Dict[str, Any], prompts:List[str], **kwargs:Any) -> None

Run when LLM starts.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Run when agent is ending.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_tool_end(output:Any, **kwargs:Any) -> None

Run when tool ends running.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_tool_error(error:BaseException, **kwargs:Any) -> None

Run when tool errors.

method

libs.community.langchain_community.callbacks.clearml_callback.ClearMLCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Run when tool starts running.

classlibs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler

Callback Handler that logs to Comet.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_agent_action(action:AgentAction, **kwargs:Any) -> Any

Run on agent action.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Run when agent ends running.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_chain_end(outputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain ends running.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_chain_error(error:BaseException, **kwargs:Any) -> None

Run when chain errors.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_chain_start(serialized:Dict[str, Any], inputs:Dict[str, Any], **kwargs:Any) -> None

Run when chain starts running.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_llm_end(response:LLMResult, **kwargs:Any) -> None

Run when LLM ends running.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Run when LLM errors.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_llm_new_token(token:str, **kwargs:Any) -> None

Run when LLM generates a new token.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_llm_start(serialized:Dict[str, Any], prompts:List[str], **kwargs:Any) -> None

Run when LLM starts.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Run when agent is ending.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_tool_end(output:Any, **kwargs:Any) -> None

Run when tool ends running.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_tool_error(error:BaseException, **kwargs:Any) -> None

Run when tool errors.

method

libs.community.langchain_community.callbacks.comet_ml_callback.CometCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Run when tool starts running.

funclibs.community.langchain_community.callbacks.context_callback.import_context() -> Any

Import the `getcontext` package.

func

libs.community.langchain_community.callbacks.flyte_callback.analyze_text(text:str, nlp:Any=None, textstat:Any=None) -> dict

Analyze text using textstat and spacy.

classlibs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler

Callback Handler that logs to Infino.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Do nothing.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_chain_end(outputs:Dict[str, Any], **kwargs:Any) -> None

Do nothing when LLM chain ends.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_chain_error(error:BaseException, **kwargs:Any) -> None

Need to log the error.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_llm_error(error:BaseException, **kwargs:Any) -> None

Set the error flag.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Do nothing.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_tool_error(error:BaseException, **kwargs:Any) -> None

Do nothing when tool outputs an error.

method

libs.community.langchain_community.callbacks.infino_callback.InfinoCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Do nothing when tool starts.

funclibs.community.langchain_community.callbacks.infino_callback.import_infino() -> Any

Import the infino client.

classlibs.community.langchain_community.callbacks.labelstudio_callback.LabelStudioCallbackHandler

Label Studio callback handler.

method

libs.community.langchain_community.callbacks.labelstudio_callback.LabelStudioCallbackHandler.on_agent_finish(finish:AgentFinish, **kwargs:Any) -> None

Do nothing

method

libs.community.langchain_community.callbacks.labelstudio_callback.LabelStudioCallbackHandler.on_text(text:str, **kwargs:Any) -> None

Do nothing

method

libs.community.langchain_community.callbacks.labelstudio_callback.LabelStudioCallbackHandler.on_tool_start(serialized:Dict[str, Any], input_str:str, **kwargs:Any) -> None

Do nothing when tool starts.

classlibs.community.langchain_community.callbacks.labelstudio_callback.LabelStudioMode

Label Studio mode enumerator.

classlibs.community.langchain_community.callbacks.llmonitor_callback.LLMonitorCallbackHandler

Callback Handler for LLMonitor`.

func

libs.community.langchain_community.callbacks.mlflow_callback.analyze_text(text:str, nlp:Any=None, textstat:Any=None) -> dict

Analyze text using textstat and spacy.

funclibs.community.langchain_community.callbacks.mlflow_callback.mlflow_callback_metrics() -> List[str]

Get the metrics to log to MLFlow.

method

libs.community.langchain_community.callbacks.openai_info.OpenAICallbackHandler.on_llm_end(response:LLMResult, **kwargs:Any) -> None

Collect token usage.

method

libs.community.langchain_community.callbacks.openai_info.OpenAICallbackHandler.on_llm_new_token(token:str, **kwargs:Any) -> None

Print out the token.

method

libs.community.langchain_community.callbacks.openai_info.OpenAICallbackHandler.on_llm_start(serialized:Dict[str, Any], prompts:List[str], **kwargs:Any) -> None

Print out the prompts.

classlibs.community.langchain_community.callbacks.openai_info.TokenType

Token type enum.

classlibs.community.langchain_community.callbacks.promptlayer_callback.PromptLayerCallbackHandler

Callback handler for promptlayer.

funclibs.community.langchain_community.callbacks.sagemaker_callback.save_json(data:dict, file_path:str) -> None

Save dict to local file path.

classlibs.community.langchain_community.callbacks.streamlit.mutable_expander.ChildRecord

Child record as a NamedTuple.

classlibs.community.langchain_community.callbacks.streamlit.mutable_expander.ChildType

Enumerator of the child type.

classlibs.community.langchain_community.callbacks.streamlit.streamlit_callback_handler.ToolRecord

Tool record as a NamedTuple.

classlibs.community.langchain_community.callbacks.tracers.comet.CometTracer

Comet Tracer.

classlibs.community.langchain_community.callbacks.tracers.wandb.WandbRunArgs

Arguments for the WandbTracer.

funclibs.community.langchain_community.callbacks.tracers.wandb.WandbTracer.get_metadata_dict(r:'Run') -> Dict[str, Any]

Extract metadata from a given run.

classlibs.community.langchain_community.callbacks.trubrics_callback.TrubricsCallbackHandler

Callback handler for Trubrics.

funclibs.community.langchain_community.callbacks.uptrain_callback.import_uptrain() -> Any

Import the `uptrain` package.

funclibs.community.langchain_community.callbacks.utils.hash_string(s:str) -> str

Hash a string using sha1.

funclibs.community.langchain_community.callbacks.utils.load_json(json_path:Union[str, Path]) -> str

Load json file to a string.

funclibs.community.langchain_community.callbacks.wandb_callback.load_json_to_dict(json_path:Union[str, Path]) -> dict

Load json file to a dictionary.

methodlibs.community.langchain_community.chains.graph_qa.base.GraphQAChain.input_keys() -> List[str]

Input keys.

methodlibs.community.langchain_community.chains.graph_qa.base.GraphQAChain.output_keys() -> List[str]

Output keys.

funclibs.community.langchain_community.chains.graph_qa.cypher.extract_cypher(text:str) -> str

Extract Cypher code from a text.

funclibs.community.langchain_community.chains.graph_qa.falkordb.extract_cypher(text:str) -> str

Extract Cypher code from a text.

funclibs.community.langchain_community.chains.graph_qa.gremlin.extract_gremlin(text:str) -> str

Extract Gremlin code from a text.

funclibs.community.langchain_community.chains.graph_qa.kuzu.extract_cypher(text:str) -> str

Extract Cypher code from a text.

funclibs.community.langchain_community.chains.graph_qa.kuzu.remove_prefix(text:str, prefix:str) -> str

Remove a prefix from a text.

funclibs.community.langchain_community.chains.graph_qa.memgraph.extract_cypher(text:str) -> str

Extract Cypher code from a text.

classlibs.community.langchain_community.chains.openapi.requests_chain.APIRequesterChain

Get the request parser.

classlibs.community.langchain_community.chains.openapi.requests_chain.APIRequesterOutputParser

Parse the request and error tags.

methodlibs.community.langchain_community.chains.openapi.requests_chain.APIRequesterOutputParser.parse(llm_output:str) -> str

Parse the request and error tags.

classlibs.community.langchain_community.chains.openapi.response_chain.APIResponderChain

Get the response parser.

method

libs.community.langchain_community.chains.openapi.response_chain.APIResponderChain.from_llm(llm:BaseLanguageModel, verbose:bool=True, **kwargs:Any) -> LLMChain

Get the response parser.

classlibs.community.langchain_community.chains.openapi.response_chain.APIResponderOutputParser

Parse the response and error tags.

methodlibs.community.langchain_community.chains.openapi.response_chain.APIResponderOutputParser.parse(llm_output:str) -> str

Parse the response and error tags.

classlibs.community.langchain_community.chains.pebblo_retrieval.models.AuthContext

Class for an authorization context.

classlibs.community.langchain_community.chains.pebblo_retrieval.models.ChainInput

Input for PebbloRetrievalQA chain.

classlibs.community.langchain_community.chains.pebblo_retrieval.models.Framework

Langchain framework details

classlibs.community.langchain_community.chains.pebblo_retrieval.models.Runtime

OS, language details

classlibs.community.langchain_community.chains.pebblo_retrieval.models.SemanticContext

Class for a semantic context.

classlibs.community.langchain_community.chains.pebblo_retrieval.models.SemanticEntities

Class for a semantic entity filter.

classlibs.community.langchain_community.chains.pebblo_retrieval.models.SemanticTopics

Class for a semantic topic filter.

classlibs.community.langchain_community.chains.pebblo_retrieval.utilities.PebbloRetrievalAPIWrapper

Wrapper for Pebblo Retrieval API.

funclibs.community.langchain_community.chains.pebblo_retrieval.utilities.get_ip() -> str

Fetch local runtime ip address.

func

libs.community.langchain_community.chat_loaders.utils.merge_chat_runs(chat_sessions:Iterable[ChatSession]) -> Iterator[ChatSession]

Merge chat runs together.

methodlibs.community.langchain_community.chat_message_histories.kafka.KafkaChatMessageHistory.close() -> None

Release the resources.

method

libs.community.langchain_community.chat_message_histories.rocksetdb.RocksetChatMessageHistory.add_message(message:BaseMessage) -> None

Add a Message object to the history.

classlibs.community.langchain_community.chat_message_histories.zep.SearchScope

Scope for the document search.

funclibs.community.langchain_community.chat_message_histories.zep_cloud.get_zep_message_role_type(role:str) -> RoleType

Get the Zep role type from the role string.

classlibs.community.langchain_community.chat_models.anyscale.ChatAnyscale

`Anyscale` Chat large language models.

classlibs.community.langchain_community.chat_models.azureml_endpoint.LlamaContentFormatter

Content formatter for `LLaMA`.

classlibs.community.langchain_community.chat_models.azureml_endpoint.MistralChatContentFormatter

Content formatter for `Mistral`.

classlibs.community.langchain_community.chat_models.baichuan.ChatBaichuan

Baichuan chat model integration.

classlibs.community.langchain_community.chat_models.dappier.ChatDappierAI

`Dappier` chat large language models.

methodlibs.community.langchain_community.chat_models.dappier.ChatDappierAI.validate_environment(values:Dict) -> Any

Validate that api key exists in environment.

classlibs.community.langchain_community.chat_models.deepinfra.ChatDeepInfra

A chat model that uses the DeepInfra API.

classlibs.community.langchain_community.chat_models.edenai.ChatEdenAI

`EdenAI` chat large language models.

methodlibs.community.langchain_community.chat_models.edenai.ChatEdenAI.validate_environment(values:Dict) -> Dict

Validate that api key exists in environment.

classlibs.community.langchain_community.chat_models.ernie.ErnieBotChat

`ERNIE-Bot` large language model.

classlibs.community.langchain_community.chat_models.everlyai.ChatEverlyAI

`EverlyAI` Chat large language models.

classlibs.community.langchain_community.chat_models.fake.FakeListChatModel

Fake ChatModel for testing purposes.

classlibs.community.langchain_community.chat_models.fake.FakeMessagesListChatModel

Fake ChatModel for testing purposes.

classlibs.community.langchain_community.chat_models.friendli.ChatFriendli

Friendli LLM for chat.

funclibs.community.langchain_community.chat_models.friendli.get_chat_request(messages:List[BaseMessage]) -> Dict[str, Any]

Get a request of the Friendli chat API.

funclibs.community.langchain_community.chat_models.friendli.get_role(message:BaseMessage) -> str

Get role of the message.

classlibs.community.langchain_community.chat_models.google_palm.ChatGooglePalm

`Google PaLM` Chat models API.

classlibs.community.langchain_community.chat_models.google_palm.ChatGooglePalmError

Error with the `Google PaLM` API.

funclibs.community.langchain_community.chat_models.google_palm.chat_with_retry(llm:ChatGooglePalm, **kwargs:Any) -> Any

Use tenacity to retry the completion call.

classlibs.community.langchain_community.chat_models.gpt_router.GPTRouter

GPTRouter by Writesonic Inc.

classlibs.community.langchain_community.chat_models.gpt_router.GPTRouterException

Error with the `GPTRouter APIs`

classlibs.community.langchain_community.chat_models.gpt_router.GPTRouterModel

GPTRouter model.

classlibs.community.langchain_community.chat_models.hunyuan.ChatHunyuan

Tencent Hunyuan chat models API by Tencent.

classlibs.community.langchain_community.chat_models.javelin_ai_gateway.ChatJavelinAIGateway

`Javelin AI Gateway` chat models API.

classlibs.community.langchain_community.chat_models.jinachat.JinaChat

`Jina AI` Chat models API.

methodlibs.community.langchain_community.chat_models.jinachat.JinaChat.completion_with_retry(**kwargs:Any) -> Any

Use tenacity to retry the completion call.

classlibs.community.langchain_community.chat_models.kinetica.ChatKinetica

Kinetica LLM Chat Model API.

methodlibs.community.langchain_community.chat_models.kinetica.ChatKinetica.validate_environment(values:Dict) -> Dict

Pydantic object validator.

classlibs.community.langchain_community.chat_models.kinetica.KineticaUtil

Kinetica utility functions.

classlibs.community.langchain_community.chat_models.konko.ChatKonko

`ChatKonko` Chat large language models API.

classlibs.community.langchain_community.chat_models.llamacpp.ChatLlamaCpp

llama.cpp model.

classlibs.community.langchain_community.chat_models.maritalk.ChatMaritalk

`MariTalk` Chat models API.

classlibs.community.langchain_community.chat_models.minimax.MiniMaxChat

MiniMax chat model integration.

classlibs.community.langchain_community.chat_models.mlflow.ChatMlflow

`MLflow` chat models API.

classlibs.community.langchain_community.chat_models.mlflow_ai_gateway.ChatMLflowAIGateway

`MLflow AI Gateway` chat models API.

classlibs.community.langchain_community.chat_models.mlx.ChatMLX

MLX chat models.

classlibs.community.langchain_community.chat_models.moonshot.MoonshotChat

Moonshot chat model integration.

classlibs.community.langchain_community.chat_models.naver.ChatClovaX

`NCP ClovaStudio` Chat Completion API.

classlibs.community.langchain_community.chat_models.oci_generative_ai.ChatOCIGenAI

ChatOCIGenAI chat model integration.

classlibs.community.langchain_community.chat_models.octoai.ChatOctoAI

OctoAI Chat large language models.

classlibs.community.langchain_community.chat_models.openai.ChatOpenAI

`OpenAI` Chat large language models API.

classlibs.community.langchain_community.chat_models.outlines.ChatOutlines

Outlines chat model integration.

classlibs.community.langchain_community.chat_models.premai.ChatPremAI

PremAI Chat models.

classlibs.community.langchain_community.chat_models.premai.ChatPremAPIError

Error with the `PremAI` API.

classlibs.community.langchain_community.chat_models.reka.ChatReka

Reka chat large language models.

method

libs.community.langchain_community.chat_models.reka.ChatReka.get_num_tokens(input:Union[str, BaseMessage, List[BaseMessage]]) -> int

Calculate number of tokens.

funclibs.community.langchain_community.chat_models.reka.process_content_item(item:Dict[str, Any]) -> Dict[str, Any]

Process a single content item.

classlibs.community.langchain_community.chat_models.snowflake.ChatSnowflakeCortexError

Error with Snowpark client.

classlibs.community.langchain_community.chat_models.sparkllm.ChatSparkLLM

IFlyTek Spark chat model integration.

classlibs.community.langchain_community.chat_models.tongyi.ChatTongyi

Alibaba Tongyi Qwen chat model integration.

methodlibs.community.langchain_community.chat_models.tongyi.ChatTongyi.completion_with_retry(**kwargs:Any) -> Any

Use tenacity to retry the completion call.

methodlibs.community.langchain_community.chat_models.tongyi.ChatTongyi.stream_completion_with_retry(**kwargs:Any) -> Any

Use tenacity to retry the completion call.

method

libs.community.langchain_community.chat_models.tongyi.ChatTongyi.subtract_client_response(resp:Any, prev_resp:Any) -> Any

Subtract prev response from curr response.

func

libs.community.langchain_community.chat_models.tongyi.convert_dict_to_message(_dict:Mapping[str, Any], is_chunk:bool=False) -> Union[BaseMessage, BaseMessageChunk]

Convert a dict to a message.

func

libs.community.langchain_community.chat_models.tongyi.convert_message_chunk_to_message(message_chunk:BaseMessageChunk) -> BaseMessage

Convert a message chunk to a message.

funclibs.community.langchain_community.chat_models.tongyi.convert_message_to_dict(message:BaseMessage) -> dict

Convert a message to a dict.

func

libs.community.langchain_community.chat_models.volcengine_maas.convert_dict_to_message(_dict:Mapping[str, Any]) -> AIMessage

Convert a dict to a message.

classlibs.community.langchain_community.chat_models.writer.ChatWriter

Writer chat model.

classlibs.community.langchain_community.chat_models.yandex.ChatYandexGPT

YandexGPT large language models.

funclibs.community.langchain_community.chat_models.yandex.completion_with_retry(llm:ChatYandexGPT, **kwargs:Any) -> Any

Use tenacity to retry the completion call.

classlibs.community.langchain_community.chat_models.yi.ChatYi

Yi chat models API.

classlibs.community.langchain_community.chat_models.yuan2.ChatYuan2

`Yuan2.0` Chat models API.

methodlibs.community.langchain_community.chat_models.yuan2.ChatYuan2.completion_with_retry(**kwargs:Any) -> Any

Use tenacity to retry the completion call.

classlibs.community.langchain_community.chat_models.zhipuai.ChatZhipuAI

ZhipuAI chat model integration.

classlibs.community.langchain_community.cross_encoders.fake.FakeCrossEncoder

Fake cross encoder model.

classlibs.community.langchain_community.cross_encoders.huggingface.HuggingFaceCrossEncoder

HuggingFace cross encoder models.

classlibs.community.langchain_community.docstore.arbitrary_fn.DocstoreFn

Docstore via arbitrary lookup function.

methodlibs.community.langchain_community.docstore.arbitrary_fn.DocstoreFn.search(search:str) -> Document

Search for a document.

classlibs.community.langchain_community.docstore.base.AddableMixin

Mixin class that supports adding texts.

methodlibs.community.langchain_community.docstore.base.AddableMixin.add(texts:Dict[str, Document]) -> None

Add more documents.

methodlibs.community.langchain_community.docstore.base.Docstore.delete(ids:List) -> None

Deleting IDs from in memory dictionary.

methodlibs.community.langchain_community.docstore.base.Docstore.search(search:str) -> Union[str, Document]

Search for document.

classlibs.community.langchain_community.docstore.wikipedia.Wikipedia

Wikipedia API.

methodlibs.community.langchain_community.docstore.wikipedia.Wikipedia.search(search:str) -> Union[str, Document]

Try to search for wiki page.

classlibs.community.langchain_community.document_compressors.llmlingua_filter.LLMLinguaCompressor

Compress using LLMLingua Project.

classlibs.community.langchain_community.document_compressors.openvino_rerank.OpenVINOReranker

OpenVINO rerank models.

classlibs.community.langchain_community.document_compressors.openvino_rerank.RerankRequest

Request for reranking.

classlibs.community.langchain_community.document_loaders.acreom.AcreomLoader

Load `acreom` vault from a directory.

classlibs.community.langchain_community.document_loaders.airbyte_json.AirbyteJSONLoader

Load local `Airbyte` json files.

classlibs.community.langchain_community.document_loaders.airtable.AirtableLoader

Load the `Airtable` tables.

methodlibs.community.langchain_community.document_loaders.airtable.AirtableLoader.lazy_load() -> Iterator[Document]

Lazy load Documents from table.

classlibs.community.langchain_community.document_loaders.arxiv.ArxivLoader

Load a query result from `Arxiv`.

methodlibs.community.langchain_community.document_loaders.arxiv.ArxivLoader.lazy_load() -> Iterator[Document]

Lazy load Arvix documents

classlibs.community.langchain_community.document_loaders.assemblyai.AssemblyAIAudioLoaderById

Load AssemblyAI audio transcripts.

classlibs.community.langchain_community.document_loaders.assemblyai.AssemblyAIAudioTranscriptLoader

Load AssemblyAI audio transcripts.

classlibs.community.langchain_community.document_loaders.async_html.AsyncHtmlLoader

Load `HTML` asynchronously.

classlibs.community.langchain_community.document_loaders.athena.AthenaLoader

Load documents from `AWS Athena`.

classlibs.community.langchain_community.document_loaders.azlyrics.AZLyricsLoader

Load `AZLyrics` webpages.

methodlibs.community.langchain_community.document_loaders.azlyrics.AZLyricsLoader.load() -> List[Document]

Load webpages into Documents.

classlibs.community.langchain_community.document_loaders.azure_ai_data.AzureAIDataLoader

Load from Azure AI Data.

methodlibs.community.langchain_community.document_loaders.azure_ai_data.AzureAIDataLoader.lazy_load() -> Iterator[Document]

A lazy loader for Documents.

classlibs.community.langchain_community.document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader

Load from `Baidu BOS directory`.

method

libs.community.langchain_community.document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader.lazy_load() -> Iterator[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.baiducloud_bos_file.BaiduBOSFileLoader

Load from `Baidu Cloud BOS` file.

method

libs.community.langchain_community.document_loaders.baiducloud_bos_file.BaiduBOSFileLoader.lazy_load() -> Iterator[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.bibtex.BibtexLoader

Load a `bibtex` file.

classlibs.community.langchain_community.document_loaders.blackboard.BlackboardLoader

Load a `Blackboard` course.

methodlibs.community.langchain_community.document_loaders.blackboard.BlackboardLoader.download(path:str) -> None

Download a file from an url.

methodlibs.community.langchain_community.document_loaders.blackboard.BlackboardLoader.load() -> List[Document]

Load data into Document objects.

methodlibs.community.langchain_community.document_loaders.blackboard.BlackboardLoader.parse_filename(url:str) -> str

Parse the filename from an url.

classlibs.community.langchain_community.document_loaders.blob_loaders.file_system.FileSystemBlobLoader

Load blobs in the local file system.

classlibs.community.langchain_community.document_loaders.blockchain.BlockchainType

Enumerator of the supported blockchains.

classlibs.community.langchain_community.document_loaders.brave_search.BraveSearchLoader

Load with `Brave Search` engine.

classlibs.community.langchain_community.document_loaders.chm.CHMParser

Microsoft Compiled HTML Help (CHM) Parser.

classlibs.community.langchain_community.document_loaders.chm.UnstructuredCHMLoader

Load `CHM` files using `Unstructured`.

classlibs.community.langchain_community.document_loaders.concurrent.ConcurrentLoader

Load and pars Documents concurrently.

classlibs.community.langchain_community.document_loaders.confluence.ConfluenceLoader

Load `Confluence` pages.

methodlibs.community.langchain_community.document_loaders.confluence.ConfluenceLoader.is_public_page(page:dict) -> bool

Check if a page is publicly accessible.

classlibs.community.langchain_community.document_loaders.conllu.CoNLLULoader

Load `CoNLL-U` files.

methodlibs.community.langchain_community.document_loaders.conllu.CoNLLULoader.load() -> List[Document]

Load from a file path.

classlibs.community.langchain_community.document_loaders.couchbase.CouchbaseLoader

Load documents from `Couchbase`.

classlibs.community.langchain_community.document_loaders.cube_semantic.CubeSemanticLoader

Load `Cube semantic layer` metadata.

classlibs.community.langchain_community.document_loaders.datadog_logs.DatadogLogsLoader

Load `Datadog` logs.

methodlibs.community.langchain_community.document_loaders.datadog_logs.DatadogLogsLoader.load() -> List[Document]

Get logs from Datadog.

methodlibs.community.langchain_community.document_loaders.datadog_logs.DatadogLogsLoader.parse_log(log:dict) -> Document

Create Document objects from Datadog log items.

classlibs.community.langchain_community.document_loaders.dataframe.DataFrameLoader

Load `Pandas` DataFrame.

classlibs.community.langchain_community.document_loaders.dedoc.DedocAPIFileLoader

Load files using `dedoc` API.

methodlibs.community.langchain_community.document_loaders.dedoc.DedocAPIFileLoader.lazy_load() -> Iterator[Document]

Lazily load documents.

classlibs.community.langchain_community.document_loaders.diffbot.DiffbotLoader

Load `Diffbot` json file.

classlibs.community.langchain_community.document_loaders.directory.DirectoryLoader

Load from a directory.

methodlibs.community.langchain_community.document_loaders.directory.DirectoryLoader.lazy_load() -> Iterator[Document]

Load documents lazily.

methodlibs.community.langchain_community.document_loaders.directory.DirectoryLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.discord.DiscordChatLoader

Load `Discord` chat logs.

methodlibs.community.langchain_community.document_loaders.discord.DiscordChatLoader.load() -> List[Document]

Load all chat messages.

classlibs.community.langchain_community.document_loaders.docugami.DocugamiLoader

Load from `Docugami`.

methodlibs.community.langchain_community.document_loaders.docugami.DocugamiLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.docusaurus.DocusaurusLoader

Load from Docusaurus Documentation.

classlibs.community.langchain_community.document_loaders.dropbox.DropboxLoader

Load files from `Dropbox`.

methodlibs.community.langchain_community.document_loaders.dropbox.DropboxLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.duckdb_loader.DuckDBLoader

Load from `DuckDB`.

classlibs.community.langchain_community.document_loaders.email.UnstructuredEmailLoader

Load email files using `Unstructured`.

classlibs.community.langchain_community.document_loaders.epub.UnstructuredEPubLoader

Load `EPub` files using `Unstructured`.

methodlibs.community.langchain_community.document_loaders.etherscan.EtherscanLoader.lazy_load() -> Iterator[Document]

Lazy load Documents from table.

classlibs.community.langchain_community.document_loaders.fauna.FaunaLoader

Load from `FaunaDB`.

classlibs.community.langchain_community.document_loaders.figma.FigmaFileLoader

Load `Figma` file.

methodlibs.community.langchain_community.document_loaders.figma.FigmaFileLoader.load() -> List[Document]

Load file

classlibs.community.langchain_community.document_loaders.gcs_directory.GCSDirectoryLoader

Load from GCS directory.

methodlibs.community.langchain_community.document_loaders.gcs_directory.GCSDirectoryLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.gcs_file.GCSFileLoader

Load from GCS file.

methodlibs.community.langchain_community.document_loaders.gcs_file.GCSFileLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_community.document_loaders.generic.GenericLoader

Generic Document Loader.

methodlibs.community.langchain_community.document_loaders.generic.GenericLoader.lazy_load() -> Iterator[Document]

Load documents lazily.

classlibs.community.langchain_community.document_loaders.geodataframe.GeoDataFrameLoader

Load `geopandas` Dataframe.

classlibs.community.langchain_community.document_loaders.git.GitLoader

Load `Git` repository files.

classlibs.community.langchain_community.document_loaders.gitbook.GitbookLoader

Load `GitBook` data.

classlibs.community.langchain_community.document_loaders.github.BaseGitHubLoader

Load `GitHub` repository Issues.

classlibs.community.langchain_community.document_loaders.github.GitHubIssuesLoader

Load issues of a GitHub repository.

methodlibs.community.langchain_community.document_loaders.github.GitHubIssuesLoader.url() -> str

Create URL for GitHub API.

classlibs.community.langchain_community.document_loaders.github.GithubFileLoader

Load GitHub File

classlibs.community.langchain_community.document_loaders.glue_catalog.GlueCatalogLoader

Load table schemas from AWS Glue.

classlibs.community.langchain_community.document_loaders.googledrive.GoogleDriveLoader

Load Google Docs from `Google Drive`.

methodlibs.community.langchain_community.document_loaders.googledrive.GoogleDriveLoader.load() -> List[Document]

Load documents.

method

libs.community.langchain_community.document_loaders.googledrive.GoogleDriveLoader.validate_credentials_path(v:Any, **kwargs:Any) -> Any

Validate that credentials_path exists.

classlibs.community.langchain_community.document_loaders.gutenberg.GutenbergLoader

Load from `Gutenberg.org`.

methodlibs.community.langchain_community.document_loaders.gutenberg.GutenbergLoader.load() -> List[Document]

Load file.

classlibs.community.langchain_community.document_loaders.helpers.FileEncoding

File encoding as the NamedTuple.

func

libs.community.langchain_community.document_loaders.helpers.detect_file_encodings(file_path:Union[str, Path], timeout:int=5) -> List[FileEncoding]

Try to detect the file encoding.

classlibs.community.langchain_community.document_loaders.hn.HNLoader

Load `Hacker News` data.

methodlibs.community.langchain_community.document_loaders.hn.HNLoader.load() -> List[Document]

Get important HN webpage information.

methodlibs.community.langchain_community.document_loaders.hn.HNLoader.load_comments(soup_info:Any) -> List[Document]

Load comments from a HN post.

methodlibs.community.langchain_community.document_loaders.hn.HNLoader.load_results(soup:Any) -> List[Document]

Load items from an HN page.

classlibs.community.langchain_community.document_loaders.html.UnstructuredHTMLLoader

Load `HTML` files using `Unstructured`.

classlibs.community.langchain_community.document_loaders.image_captions.ImageCaptionLoader

Load image captions.

classlibs.community.langchain_community.document_loaders.imsdb.IMSDbLoader

Load `IMSDb` webpages.

methodlibs.community.langchain_community.document_loaders.imsdb.IMSDbLoader.load() -> List[Document]

Load webpage.

classlibs.community.langchain_community.document_loaders.iugu.IuguLoader

Load from `IUGU`.

classlibs.community.langchain_community.document_loaders.joplin.JoplinLoader

Load notes from `Joplin`.

classlibs.community.langchain_community.document_loaders.json_loader.JSONLoader

Load a `JSON` file using a `jq` schema.

classlibs.community.langchain_community.document_loaders.kinetica_loader.KineticaLoader

Load from `Kinetica` API.

methodlibs.community.langchain_community.document_loaders.kinetica_loader.KineticaLoader.load() -> List[Document]

Load data into document objects.

classlibs.community.langchain_community.document_loaders.lakefs.LakeFSClient

Client for lakeFS.

classlibs.community.langchain_community.document_loaders.lakefs.LakeFSLoader

Load from `lakeFS`.

classlibs.community.langchain_community.document_loaders.larksuite.LarkSuiteDocLoader

Load from `LarkSuite` (`FeiShu`).

classlibs.community.langchain_community.document_loaders.larksuite.LarkSuiteWikiLoader

Load from `LarkSuite` (`FeiShu`) wiki.

classlibs.community.langchain_community.document_loaders.llmsherpa.LLMSherpaFileLoader

Load Documents using `LLMSherpa`.

methodlibs.community.langchain_community.document_loaders.llmsherpa.LLMSherpaFileLoader.lazy_load() -> Iterator[Document]

Load file.

classlibs.community.langchain_community.document_loaders.mastodon.MastodonTootsLoader

Load the `Mastodon` 'toots'.

methodlibs.community.langchain_community.document_loaders.mastodon.MastodonTootsLoader.lazy_load() -> Iterator[Document]

Load toots into documents.

methodlibs.community.langchain_community.document_loaders.mediawikidump.MWDumpLoader.lazy_load() -> Iterator[Document]

Lazy load from a file path.

classlibs.community.langchain_community.document_loaders.merge.MergedDataLoader

Merge documents from a list of loaders

classlibs.community.langchain_community.document_loaders.mhtml.MHTMLLoader

Parse `MHTML` files with `BeautifulSoup`.

classlibs.community.langchain_community.document_loaders.modern_treasury.ModernTreasuryLoader

Load from `Modern Treasury`.

classlibs.community.langchain_community.document_loaders.mongodb.MongodbLoader

Load MongoDB documents.

About this data

These signatures were extracted from the public source of langchain-ai/langchain-community using Python's ast module. Argument names, default values, type annotations and return types are taken verbatim from the code. Implementation bodies are never stored. See how it works for details.

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