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API Reference¶ langchain.agents: Agents¶ Interface for agents. Classes¶ agents.agent.Agent Class responsible for calling the language model and deciding the action. agents.agent.AgentExecutor Consists of an agent using tools. agents.agent.AgentOutputParser Create a new model by parsing and validating input data from ke...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-1
agents.agent_toolkits.openapi.planner.RequestsPatchToolWithParsing Create a new model by parsing and validating input data from keyword arguments. agents.agent_toolkits.openapi.planner.RequestsPostToolWithParsing Create a new model by parsing and validating input data from keyword arguments. agents.agent_toolkits.opena...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-2
agents.conversational_chat.base.ConversationalChatAgent An agent designed to hold a conversation in addition to using tools. agents.conversational_chat.output_parser.ConvoOutputParser Create a new model by parsing and validating input data from keyword arguments. agents.mrkl.base.ChainConfig(action_name, ...) Configura...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Create a new model by parsing and validating input data from keyword arguments. agents.structured_chat.output_parser.StructuredChatOutputParser Create a new model by parsing and validating input data from keyword arguments. agents.structured_chat.output_parser.StructuredChatOutputParserWithRetries Create a new model by...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Construct a sql agent from an LLM and tools. agents.agent_toolkits.sql.base.create_sql_agent(...) Construct a sql agent from an LLM and tools. agents.agent_toolkits.vectorstore.base.create_vectorstore_agent(...) Construct a vectorstore agent from an LLM and tools. agents.agent_toolkits.vectorstore.base.create_vectorsto...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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cache.RedisCache(redis_) Cache that uses Redis as a backend. cache.RedisSemanticCache(redis_url, embedding) Cache that uses Redis as a vector-store backend. cache.SQLAlchemyCache(engine, cache_schema) Cache that uses SQAlchemy as a backend. cache.SQLiteCache([database_path]) Cache that uses SQLite as a backend. langcha...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Callback Handler that logs to Infino. callbacks.manager.AsyncCallbackManager(handlers) Async callback manager that can be used to handle callbacks from LangChain. callbacks.manager.AsyncCallbackManagerForChainRun(*, ...) Async callback manager for chain run. callbacks.manager.AsyncCallbackManagerForLLMRun(*, ...) Async...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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callbacks.streaming_aiter.AsyncIteratorCallbackHandler() Callback handler that returns an async iterator. callbacks.streaming_aiter_final_only.AsyncFinalIteratorCallbackHandler(*) Callback handler that returns an async iterator. callbacks.streaming_stdout.StreamingStdOutCallbackHandler() Callback handler for streaming....
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https://langchain.readthedocs.io/en/latest/api_reference.html
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callbacks.tracers.schemas.ToolRun Class for ToolRun. callbacks.tracers.schemas.TracerSession TracerSessionV1 schema for the V2 API. callbacks.tracers.schemas.TracerSessionBase A creation class for TracerSession. callbacks.tracers.schemas.TracerSessionV1 TracerSessionV1 schema. callbacks.tracers.schemas.TracerSessionV1B...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Get a callback manager for a chain group in a context manager. callbacks.manager.tracing_enabled([session_name]) Get the Deprecated LangChainTracer in a context manager. callbacks.manager.tracing_v2_enabled([...]) Instruct LangChain to log all runs in context to LangSmith. callbacks.manager.wandb_tracing_enabled([...])...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-10
Hash a string using sha1. callbacks.utils.import_pandas() Import the pandas python package and raise an error if it is not installed. callbacks.utils.import_spacy() Import the spacy python package and raise an error if it is not installed. callbacks.utils.import_textstat() Import the textstat python package and raise a...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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chains.combine_documents.base.BaseCombineDocumentsChain Base interface for chains combining documents. chains.combine_documents.map_reduce.CombineDocsProtocol(...) Interface for the combine_docs method. chains.combine_documents.map_reduce.MapReduceDocumentsChain Combining documents by mapping a chain over them, then co...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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chains.graph_qa.kuzu.KuzuQAChain Chain for question-answering against a graph by generating Cypher statements for Kùzu. chains.graph_qa.nebulagraph.NebulaGraphQAChain Chain for question-answering against a graph by generating nGQL statements. chains.hyde.base.HypotheticalDocumentEmbedder Generate hypothetical document ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Create a new model by parsing and validating input data from keyword arguments. chains.openai_functions.qa_with_structure.AnswerWithSources An answer to the question being asked, with sources. chains.pal.base.PALChain Implements Program-Aided Language Models. chains.prompt_selector.BasePromptSelector Create a new model...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Defines interface for IR translation using visitor pattern. chains.query_constructor.parser.QueryTransformer chains.query_constructor.schema.AttributeInfo Information about a data source attribute. chains.question_answering.__init__.LoadingCallable(...) Interface for loading the combine documents chain. chains.retrieva...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Chain for querying SQL database that is a sequential chain. chains.summarize.__init__.LoadingCallable(...) Interface for loading the combine documents chain. chains.transform.TransformChain Chain transform chain output. Functions¶ chains.combine_documents.base.format_document(...) Format a document into a string based ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Returns the kwargs for the LLMChain constructor. chains.prompt_selector.is_chat_model(llm) Check if the language model is a chat model. chains.prompt_selector.is_llm(llm) Check if the language model is a LLM. chains.qa_with_sources.loading.load_qa_with_sources_chain(llm) Load question answering with sources chain. chai...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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chat_models.google_palm.ChatGooglePalm Wrapper around Google's PaLM Chat API. chat_models.google_palm.ChatGooglePalmError Error raised when there is an issue with the Google PaLM API. chat_models.openai.ChatOpenAI Wrapper around OpenAI Chat large language models. chat_models.promptlayer_openai.PromptLayerChatOpenAI Wra...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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docstore.wikipedia.Wikipedia() Wrapper around wikipedia API. langchain.document_loaders: Document Loaders¶ All different types of document loaders. Classes¶ document_loaders.acreom.AcreomLoader(path[, ...]) Initialize with path. document_loaders.airbyte_json.AirbyteJSONLoader(...) Loader that loads local airbyte json f...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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A blob is used to represent raw data by either reference or value. document_loaders.blob_loaders.schema.BlobLoader() Abstract interface for blob loaders implementation. document_loaders.blob_loaders.youtube_audio.YoutubeAudioLoader(...) Load YouTube urls as audio file(s). document_loaders.blockchain.BlockchainDocumentL...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Loader that loads Outlook Message files using extract_msg. document_loaders.email.UnstructuredEmailLoader(...) Loader that uses unstructured to load email files. document_loaders.embaas.BaseEmbaasLoader Create a new model by parsing and validating input data from keyword arguments. document_loaders.embaas.EmbaasBlobLoa...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Load GitBook data. document_loaders.github.BaseGitHubLoader Load issues of a GitHub repository. document_loaders.github.GitHubIssuesLoader Create a new model by parsing and validating input data from keyword arguments. document_loaders.googledrive.GoogleDriveLoader Loader that loads Google Docs from Google Drive. docum...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Loads a JSON file and references a jq schema provided to load the text into documents. document_loaders.larksuite.LarkSuiteDocLoader(...) Loader that loads LarkSuite (FeiShu) document. document_loaders.markdown.UnstructuredMarkdownLoader(...) Loader that uses unstructured to load markdown files. document_loaders.mastod...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Loader that loads Open city data. document_loaders.org_mode.UnstructuredOrgModeLoader(...) Loader that uses unstructured to load Org-Mode files. document_loaders.parsers.audio.OpenAIWhisperParser() Transcribe and parse audio files. document_loaders.parsers.generic.MimeTypeBasedParser(...) A parser that uses mime-types ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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document_loaders.pdf.OnlinePDFLoader(file_path) Loader that loads online PDFs. document_loaders.pdf.PDFMinerLoader(file_path) Loader that uses PDFMiner to load PDF files. document_loaders.pdf.PDFMinerPDFasHTMLLoader(...) Loader that uses PDFMiner to load PDF files as HTML content. document_loaders.pdf.PDFPlumberLoader(...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Reddit posts loader. document_loaders.roam.RoamLoader(path) Loader that loads Roam files from disk. document_loaders.rst.UnstructuredRSTLoader(...) Loader that uses unstructured to load RST files. document_loaders.rtf.UnstructuredRTFLoader(...) Loader that uses unstructured to load rtf files. document_loaders.s3_direct...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Loader that loads HTML to markdown using 2markdown. document_loaders.toml.TomlLoader(source) A TOML document loader that inherits from the BaseLoader class. document_loaders.trello.TrelloLoader(client, ...) Trello loader. document_loaders.twitter.TwitterTweetLoader(...) Twitter tweets loader. document_loaders.unstructu...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Loads a DOCX with docx2txt and chunks at character level. document_loaders.word_document.UnstructuredWordDocumentLoader(...) Loader that uses unstructured to load word documents. document_loaders.xml.UnstructuredXMLLoader(...) Loader that uses unstructured to load XML files. document_loaders.youtube.GoogleApiYoutubeLoa...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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langchain.document_transformers: Document Transformers¶ Transform documents Classes¶ document_transformers.EmbeddingsRedundantFilter Filter that drops redundant documents by comparing their embeddings. Functions¶ document_transformers.get_stateful_documents(...) Convert a list of documents to a list of documents with s...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Wrapper around sentence_transformers embedding models. embeddings.huggingface_hub.HuggingFaceHubEmbeddings Wrapper around HuggingFaceHub embedding models. embeddings.jina.JinaEmbeddings Create a new model by parsing and validating input data from keyword arguments. embeddings.llamacpp.LlamaCppEmbeddings Wrapper around ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Use tenacity to retry the embedding call. embeddings.google_palm.embed_with_retry(...) Use tenacity to retry the completion call. embeddings.minimax.embed_with_retry(...) Use tenacity to retry the completion call. embeddings.openai.embed_with_retry(...) Use tenacity to retry the embedding call. embeddings.self_hosted_h...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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evaluation.comparison.eval_chain.PairwiseStringResultOutputParser A parser for the output of the PairwiseStringEvalChain. evaluation.criteria.eval_chain.CriteriaEvalChain LLM Chain for evaluating runs against criteria. evaluation.criteria.eval_chain.CriteriaResultOutputParser A parser for the output of the CriteriaEval...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Get an eval chain for grading a model's response against a map of criteria. evaluation.run_evaluators.implementations.get_qa_evaluator(llm, *) Get an eval chain that compares response against ground truth. evaluation.run_evaluators.implementations.get_trajectory_evaluator(...) Get an eval chain for grading a model's re...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-33
A character with memory and innate characteristics. experimental.generative_agents.memory.GenerativeAgentMemory Create a new model by parsing and validating input data from keyword arguments. experimental.llms.jsonformer_decoder.JsonFormer Create a new model by parsing and validating input data from keyword arguments. ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Create a new model by parsing and validating input data from keyword arguments. Functions¶ experimental.autonomous_agents.autogpt.output_parser.preprocess_json_input(...) Preprocesses a string to be parsed as json. experimental.autonomous_agents.autogpt.prompt_generator.get_prompt(tools) This function generates a promp...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-35
Get colored text. input.print_text(text[, color, end, file]) Print text with highlighting and no end characters. langchain.llms: LLMs¶ Wrappers on top of large language models APIs. Classes¶ llms.ai21.AI21 Wrapper around AI21 large language models. llms.ai21.AI21PenaltyData Parameters for AI21 penalty data. llms.aleph_...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-36
llms.beam.Beam Wrapper around Beam API for gpt2 large language model. llms.bedrock.Bedrock LLM provider to invoke Bedrock models. llms.cerebriumai.CerebriumAI Wrapper around CerebriumAI large language models. llms.clarifai.Clarifai Wrapper around Clarifai's large language models. llms.cohere.Cohere Wrapper around Coher...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-37
llms.llamacpp.LlamaCpp Wrapper around the llama.cpp model. llms.manifest.ManifestWrapper Wrapper around HazyResearch's Manifest library. llms.modal.Modal Wrapper around Modal large language models. llms.mosaicml.MosaicML Wrapper around MosaicML's LLM inference service. llms.nlpcloud.NLPCloud Wrapper around NLPCloud lar...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-38
Wrapper around RWKV language models. llms.sagemaker_endpoint.ContentHandlerBase() A handler class to transform input from LLM to a format that SageMaker endpoint expects. llms.sagemaker_endpoint.LLMContentHandler() Content handler for LLM class. llms.sagemaker_endpoint.SagemakerEndpoint Wrapper around custom Sagemaker ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-39
llms.google_palm.generate_with_retry(llm, ...) Use tenacity to retry the completion call. llms.loading.load_llm(file) Load LLM from file. llms.loading.load_llm_from_config(config) Load LLM from Config Dict. llms.openai.completion_with_retry(llm, **kwargs) Use tenacity to retry the completion call. llms.openai.update_to...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-40
Classes¶ memory.buffer.ConversationBufferMemory Buffer for storing conversation memory. memory.buffer.ConversationStringBufferMemory Buffer for storing conversation memory. memory.buffer_window.ConversationBufferWindowMemory Buffer for storing conversation memory. memory.chat_memory.BaseChatMemory Create a new model by...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-41
Class for combining multiple memories' data together. memory.entity.BaseEntityStore Create a new model by parsing and validating input data from keyword arguments. memory.entity.ConversationEntityMemory Entity extractor & summarizer memory. memory.entity.InMemoryEntityStore Basic in-memory entity store. memory.entity.R...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-42
output_parsers.enum.EnumOutputParser Create a new model by parsing and validating input data from keyword arguments. output_parsers.fix.OutputFixingParser Wraps a parser and tries to fix parsing errors. output_parsers.list.CommaSeparatedListOutputParser Parse out comma separated lists. output_parsers.list.ListOutputPar...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-43
output_parsers.structured.StructuredOutputParser Create a new model by parsing and validating input data from keyword arguments. Functions¶ output_parsers.json.parse_and_check_json_markdown(...) Parse a JSON string from a Markdown string and check that it contains the expected keys. output_parsers.json.parse_json_markd...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-44
Create a new model by parsing and validating input data from keyword arguments. prompts.example_selector.base.BaseExampleSelector() Interface for selecting examples to include in prompts. prompts.example_selector.length_based.LengthBasedExampleSelector Select examples based on length. prompts.example_selector.ngram_ove...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-45
Lightweight wrapper around requests library, with async support. Classes¶ requests.Requests Wrapper around requests to handle auth and async. requests.TextRequestsWrapper Lightweight wrapper around requests library. langchain.retrievers: Retrievers¶ Classes¶ retrievers.arxiv.ArxivRetriever It is effectively a wrapper f...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-46
Create a new model by parsing and validating input data from keyword arguments. retrievers.document_compressors.embeddings_filter.EmbeddingsFilter Create a new model by parsing and validating input data from keyword arguments. retrievers.elastic_search_bm25.ElasticSearchBM25Retriever(...) Wrapper around Elasticsearch u...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-47
Question-answering with sources over an LlamaIndex graph data structure. retrievers.llama_index.LlamaIndexRetriever Question-answering with sources over an LlamaIndex data structure. retrievers.merger_retriever.MergerRetriever(...) This class merges the results of multiple retrievers. retrievers.metal.MetalRetriever(cl...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-48
retrievers.self_query.pinecone.PineconeTranslator() Logic for converting internal query language elements to valid filters. retrievers.self_query.qdrant.QdrantTranslator(...) Logic for converting internal query language elements to valid filters. retrievers.self_query.weaviate.WeaviateTranslator() Logic for converting ...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-49
retrievers.milvus.MilvusRetreiver(*args, ...) Deprecated MilvusRetreiver. retrievers.pinecone_hybrid_search.create_index(...) Create a Pinecone index from a list of contexts. retrievers.pinecone_hybrid_search.hash_text(text) Hash a text using SHA256. retrievers.self_query.myscale.DEFAULT_COMPOSER(op_name) Default compo...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-50
schema.FunctionMessage Create a new model by parsing and validating input data from keyword arguments. schema.Generation Output of a single generation. schema.HumanMessage Type of message that is spoken by the human. schema.LLMResult Class that contains all relevant information for an LLM Result. schema.NoOpOutputParse...
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https://langchain.readthedocs.io/en/latest/api_reference.html
20e9b0d32d50-51
text_splitter.LineType Line type as typed dict. text_splitter.MarkdownTextSplitter(**kwargs) Attempts to split the text along Markdown-formatted headings. text_splitter.NLTKTextSplitter([separator]) Implementation of splitting text that looks at sentences using NLTK. text_splitter.PythonCodeTextSplitter(**kwargs) Attem...
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https://langchain.readthedocs.io/en/latest/api_reference.html
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Check out the documentation for more information.

msxgpt

Description

This dataset, "msxgpt," is designed for training the GPT-3.5-turbo/ GPT-4 based language model for a task. The data consists of JSON lines, each representing an individual example for the model.

The dataset has been created with an emphasis on encoding, which is pivotal to the functionality of Memory Features, Security, and API Endpoints. It is designed to process and store documents from various data sources continuously, using incoming webhooks to the upsert and delete endpoints.

Potential applications of this dataset could range from natural language understanding tasks to more specialized uses. For instance, tools like Zapier or Make can help configure the webhooks based on events or schedule, enabling sophisticated automation and workflow configuration capabilities.

Data Structure

Each line in the train.jsonl file is a JSON object with the following structure:

{
  "input": "string",
  "target": "string"
}

Usage 

import json

with open('train.jsonl', 'r') as f:
    for line in f:
        obj = json.loads(line)
        print(obj['input'], obj['target'])

License 

This dataset is made available under the Creative Commons CC0 4.0 Universal (CC0 4.0) Public Domain Dedication. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

The above example states that anyone can use the dataset for any purpose without needing to ask for permission, which maximizes the dataset's usability.


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