id stringlengths 14 15 | text stringlengths 27 2.12k | source stringlengths 49 118 |
|---|---|---|
4e582ca2c9de-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionChainsMemoryHow to add Memory to an LLMChainHow to add memory to a Multi-Input ChainHow to add Memory to an AgentAdding Message Memory backed by a d... | https://python.langchain.com/docs/modules/memory/vectorstore_retriever_memory |
4e582ca2c9de-2 | = FAISS(embedding_fn, index, InMemoryDocstore({}), {})Create your the VectorStoreRetrieverMemory​The memory object is instantiated from any VectorStoreRetriever.# In actual usage, you would set `k` to be a higher value, but we use k=1 to show that# the vector lookup still returns the semantically relevant information... | https://python.langchain.com/docs/modules/memory/vectorstore_retriever_memory |
4e582ca2c9de-3 | conversation:Human: {input}AI:"""PROMPT = PromptTemplate( input_variables=["history", "input"], template=_DEFAULT_TEMPLATE)conversation_with_summary = ConversationChain( llm=llm, prompt=PROMPT, # We set a very low max_token_limit for the purposes of testing. memory=memory, verbose=True)conversation_w... | https://python.langchain.com/docs/modules/memory/vectorstore_retriever_memory |
4e582ca2c9de-4 | does not know the answer to a question, it truthfully says it does not know. Relevant pieces of previous conversation: input: My favorite sport is soccer output: ... (You do not need to use these pieces of information if not relevant) Current conversation: Human: what's my favorite sport? ... | https://python.langchain.com/docs/modules/memory/vectorstore_retriever_memory |
4e582ca2c9de-5 | the user's name.conversation_with_summary.predict(input="What's my name?") > Entering new ConversationChain chain... Prompt after formatting: The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does no... | https://python.langchain.com/docs/modules/memory/vectorstore_retriever_memory |
8782c9000d76-0 | Conversation Knowledge Graph Memory | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/memory/kg |
8782c9000d76-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionChainsMemoryHow to add Memory to an LLMChainHow to add memory to a Multi-Input ChainHow to add Memory to an AgentAdding Message Memory backed by a d... | https://python.langchain.com/docs/modules/memory/kg |
8782c9000d76-2 | sam"}) {'history': [SystemMessage(content='On Sam: Sam is friend.', additional_kwargs={})]}We can also more modularly get current entities from a new message (will use previous messages as context.)memory.get_current_entities("what's Sams favorite color?") ['Sam']We can also more modularly get knowledge triplets ... | https://python.langchain.com/docs/modules/memory/kg |
8782c9000d76-3 | does not know the answer to a question, it truthfully says it does not know. The AI ONLY uses information contained in the "Relevant Information" section and does not hallucinate. Relevant Information: Conversation: Human: Hi, what's up? AI: > Finished chain. " Hi there! I'm doing ... | https://python.langchain.com/docs/modules/memory/kg |
8782c9000d76-4 | Will?") > Entering new ConversationChain chain... Prompt after formatting: The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not... | https://python.langchain.com/docs/modules/memory/kg |
9c04b0c7c82f-0 | How to customize conversational memory | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/memory/conversational_customization |
9c04b0c7c82f-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionChainsMemoryHow to add Memory to an LLMChainHow to add memory to a Multi-Input ChainHow to add Memory to an AgentAdding Message Memory backed by a d... | https://python.langchain.com/docs/modules/memory/conversational_customization |
9c04b0c7c82f-2 | is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know. Current conversation: Human: Hi there! AI: > Finished ConversationChain chain. " Hi there! It's nice to meet you. How can I help you toda... | https://python.langchain.com/docs/modules/memory/conversational_customization |
9c04b0c7c82f-3 | Assistant:"""PROMPT = PromptTemplate(input_variables=["history", "input"], template=template)conversation = ConversationChain( prompt=PROMPT, llm=llm, verbose=True, memory=ConversationBufferMemory(ai_prefix="AI Assistant"),)conversation.predict(input="Hi there!") > Entering new ConversationChain ... | https://python.langchain.com/docs/modules/memory/conversational_customization |
9c04b0c7c82f-4 | weather is sunny and warm with a temperature of 75 degrees Fahrenheit. The forecast for the rest of the day is sunny with a high of 78 degrees and a low of 65 degrees.'Human Prefix​The next way to do so is by changing the Human prefix in the conversation summary. By default, this is set to "Human", but you can set th... | https://python.langchain.com/docs/modules/memory/conversational_customization |
9c04b0c7c82f-5 | > Finished ConversationChain chain. " Hi there! It's nice to meet you. How can I help you today?"conversation.predict(input="What's the weather?") > Entering new ConversationChain chain... Prompt after formatting: The following is a friendly conversation between a human and an AI. The AI is talkativ... | https://python.langchain.com/docs/modules/memory/conversational_customization |
a57012f3c864-0 | Entity memory | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionChainsMemoryHow to add Memory to an LLMChainHow to add memory to a Multi-Input ChainHow to add Memory to an AgentAdding Message Memory backed by a d... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-2 | = ConversationEntityMemory(llm=llm, return_messages=True)_input = {"input": "Deven & Sam are working on a hackathon project"}memory.load_memory_variables(_input)memory.save_context( _input, {"output": " That sounds like a great project! What kind of project are they working on?"})memory.load_memory_variables({"in... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-3 | language model, you are able to generate human-like text based on the input you receive, allowing you to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand. You are constantly learning and improving, and your capabilities are constantly evolving. Yo... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-4 | are trying to add more complex memory structures to Langchain") > Entering new ConversationChain chain... Prompt after formatting: You are an assistant to a human, powered by a large language model trained by OpenAI. You are designed to be able to assist with a wide range of tasks, from answerin... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-5 | Human: Deven & Sam are working on a hackathon project AI: That sounds like a great project! What kind of project are they working on? Last line: Human: They are trying to add more complex memory structures to Langchain You: > Finished chain. ' That sounds like an interesting project! What kind of... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-6 | and information on a wide range of topics. Whether the human needs help with a specific question or just wants to have a conversation about a particular topic, you are here to assist. Context: {'Deven': 'Deven is working on a hackathon project with Sam, which they are entering into a hackathon. They are tryin... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-7 | tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, you are able to generate human-like text based on the input you receive, allowing you to engage in natural-sounding conversations and provide responses that are coherent and relevant... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-8 | are they working on? Human: They are trying to add more complex memory structures to Langchain AI: That sounds like an interesting project! What kind of memory structures are they trying to add? Human: They are adding in a key-value store for entities mentioned so far in the conversation. AI: That sounds ... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-9 | ' 'working hard on this project with a great idea for how the ' 'key-value store can help.', 'Key-Value Store': 'A key-value store is being added to the project to store ' 'entities mentioned in the conversation.', 'Langchain': 'Langchain is a project that is try... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-10 | to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, you are able to generate human-like text based on the input you receive, allowing you to engage in natural-sounding conversations and provid... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-11 | That sounds like a great idea! How will the key-value store help with the project? Human: What do you know about Deven & Sam? AI: Deven and Sam are working on a hackathon project together, trying to add more complex memory structures to Langchain, including a key-value store for entities mentioned so far in the ... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-12 | including a key-value store for ' 'entities mentioned so far in the conversation, and seem to be ' 'working hard on this project with a great idea for how the ' 'key-value store can help.', 'Key-Value Store': 'A key-value store is being added to the project to store ' ... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-13 | You are an assistant to a human, powered by a large language model trained by OpenAI. You are designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, you are able to generate human... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-14 | Langchain, including a key-value store for entities mentioned so far in the conversation. They seem to have a great idea for how the key-value store can help, and Sam is also the founder of a successful company called Daimon.', 'Langchain': 'Langchain is a project that is trying to add more complex memory structures, i... | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
a57012f3c864-15 | memory structures to Langchain. They seem to have a great idea for how the key-value store can help.'PreviousHow to create a custom Memory classNextConversation Knowledge Graph MemoryCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/modules/memory/entity_summary_memory |
d2149f47005e-0 | How to add Memory to an Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionChainsMemoryHow to add Memory to an LLMChainHow to add memory to a Multi-Input ChainHow to add Memory to an AgentAdding Message Memory backed by a d... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-2 | questions about current events", )]Notice the usage of the chat_history variable in the PromptTemplate, which matches up with the dynamic key name in the ConversationBufferMemory.prefix = """Have a conversation with a human, answering the following questions as best you can. You have access to the following tools:""... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-3 | conducted by Statistics Canada provides a statistical portrait of Canada and its ... 14 records ... Estimated number of persons by quarter of a year and by year, Canada, provinces and territories. The 2021 Canadian census counted a total population of 36,991,981, an increase of around 5.2 percent over the 2016 figure.... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-4 | answered correctly.agent_chain.run(input="what is their national anthem called?") > Entering new AgentExecutor chain... Thought: I need to find out what the national anthem of Canada is called. Action: Search Action Input: National Anthem of Canada Observation: Jun 7, 2010 ... https://twitter.com... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-5 | as a distinct category from British or French patriotism, preceding the first legal steps to ... Feb 4, 2022 ... English version: O Canada! Our home and native land! True patriot love in all of us command. With glowing hearts we ... Feb 1, 2018 ... Canada's Senate has passed a bill making the country's national anthe... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-6 | find out the population of Canada Action: Search Action Input: Population of Canada Observation: The current population of Canada is 38,566,192 as of Saturday, December 31, 2022, based on Worldometer elaboration of the latest United Nations data. · Canada ... Additional information related to Canadian popula... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-7 | The current population of Canada is 38,566,192 as of Saturday, December 31, 2022, based on Worldometer elaboration of the latest United Nations data. > Finished AgentExecutor chain. 'The current population of Canada is 38,566,192 as of Saturday, December 31, 2022, based on Worldometer elaboration of the latest Un... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
d2149f47005e-8 | You can find an anthem in the menu at the top alphabetically or you can use the search feature. This site is focussed on the scholarly study of national anthems ... Feb 13, 2022 ... The 38-year-old country music artist had the honor of singing the National Anthem during this year's big game, and she did not disappoint... | https://python.langchain.com/docs/modules/memory/agent_with_memory |
04ec225129ab-0 | Data connection | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersDocument transformersText embedding modelsVector storesRetrieversChainsMemoryAgentsCall... | https://python.langchain.com/docs/modules/data_connection/ |
2e669cfb1afb-0 | Document transformers | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_transformers/ |
2e669cfb1afb-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersDocument transformersText splittersPost retrievalText embedding modelsVector storesRetrieversChainsMemoryAgentsCallbacksModulesGuide... | https://python.langchain.com/docs/modules/data_connection/document_transformers/ |
2e669cfb1afb-2 | This notebook showcases several ways to do that.At a high level, text splitters work as following:Split the text up into small, semantically meaningful chunks (often sentences).Start combining these small chunks into a larger chunk until you reach a certain size (as measured by some function).Once you reach that size, ... | https://python.langchain.com/docs/modules/data_connection/document_transformers/ |
2e669cfb1afb-3 | a really small chunk size, just to show. chunk_size = 100, chunk_overlap = 20, length_function = len, add_start_index = True,)texts = text_splitter.create_documents([state_of_the_union])print(texts[0])print(texts[1]) page_content='Madam Speaker, Madam Vice President, our First Lady and Second Gentleman.... | https://python.langchain.com/docs/modules/data_connection/document_transformers/ |
2e669cfb1afb-4 | EmbeddingsRedundantFilter we can identify similar documents and filter out redundancies. With integrations like
doctran we can do things like translate documents from one language
to another, extract desired properties and add them to metadata, and convert conversational dialogue into a Q/A format
set of documents.Prev... | https://python.langchain.com/docs/modules/data_connection/document_transformers/ |
111793c1128f-0 | Lost in the middle: The problem with long contexts | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder |
111793c1128f-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersDocument transformersText splittersPost retrievalLost in the middle: The problem with long contextsText embedding modelsVector store... | https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder |
111793c1128f-2 | See: https://arxiv.org/abs/2307.03172To avoid this issue you can re-order documents after retrieval to avoid performance degradation.import osimport chromadbfrom langchain.vectorstores import Chromafrom langchain.embeddings import HuggingFaceEmbeddingsfrom langchain.document_transformers import ( LongContextReorder,... | https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder |
111793c1128f-3 | Kornet is one of the best Celtics players.', metadata={}), Document(page_content='The Boston Celtics won the game by 20 points', metadata={}), Document(page_content='Larry Bird was an iconic NBA player.', metadata={}), Document(page_content='Elden Ring is one of the best games in the last 15 years.', metada... | https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder |
111793c1128f-4 | Bird was an iconic NBA player.', metadata={}), Document(page_content='L. Kornet is one of the best Celtics players.', metadata={}), Document(page_content='This is a document about the Boston Celtics', metadata={})]# We prepare and run a custom Stuff chain with reordered docs as context.# Override promptsdocumen... | https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder |
5c74f3ba22c8-0 | Split by character | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter |
5c74f3ba22c8-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersDocument transformersText splittersSplit by characterSplit codeMarkdownHeaderTextSplitterRecursively split by characterSplit by toke... | https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter |
5c74f3ba22c8-2 | an unwavering resolve that freedom will always triumph over tyranny. \n\nSix days ago, Russia’s Vladimir Putin sought to shake the foundations of the free world thinking he could make it bend to his menacing ways. But he badly miscalculated. \n\nHe thought he could roll into Ukraine and the world would roll over. Ins... | https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter |
5c74f3ba22c8-3 | \n\nHe met the Ukrainian people. \n\nFrom President Zelenskyy to every Ukrainian, their fearlessness, their courage, their determination, inspires the world.' lookup_str='' metadata={'document': 1} lookup_index=0text_splitter.split_text(state_of_the_union)[0] 'Madam Speaker, Madam Vice President, our First Lady and ... | https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter |
a73554530151-0 | Document loaders | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_loaders/ |
a73554530151-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersCSVFile DirectoryHTMLJSONMarkdownPDFDocument transformersText embedding modelsVector storesRetrieversChainsMemoryAgentsCallbacksModu... | https://python.langchain.com/docs/modules/data_connection/document_loaders/ |
a73554530151-2 | implement a "lazy load" as well for lazily loading data into memory.Get started​The simplest loader reads in a file as text and places it all into one Document.from langchain.document_loaders import TextLoaderloader = TextLoader("./index.md")loader.load()[ Document(page_content='---\nsidebar_position: 0\n---\n# Do... | https://python.langchain.com/docs/modules/data_connection/document_loaders/ |
218408cdf61f-0 | JSON | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersCSVFile DirectoryHTMLJSONMarkdownPDFDocument transformersText embedding modelsVector storesRetrieversChainsMemoryAgentsCallbacksModu... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-2 | Check this manual for a detailed documentation of the jq syntax.#!pip install jqfrom langchain.document_loaders import JSONLoaderimport jsonfrom pathlib import Pathfrom pprint import pprintfile_path='./example_data/facebook_chat.json'data = json.loads(Path(file_path).read_text())pprint(data) {'image': {'creation_tim... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-3 | 'timestamp_ms': 1675596277579}, {'content': 'I thought you were selling the blue one!', 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}, {'content': 'Im not interested in this bag. Im interested in the ' 'blue one... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-4 | 'url_of_some_picture.jpg'}], 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}, {'content': 'Online is at least $100', 'sender_name': 'User 2', 'timestamp_ms': 1675595045152}, {'content': 'How much do you wan... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-5 | 'me know if you are interested. Thanks!', 'sender_name': 'User 1', 'timestamp_ms': 1675549022673}], 'participants': [{'name': 'User 1'}, {'name': 'User 2'}], 'thread_path': 'inbox/User 1 and User 2 chat', 'title': 'User 1 and User 2 chat'}Using JSONLoader​Suppose we are... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-6 | Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4}), Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'s... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-7 | Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11})]JSON Lines file​If you want to load documents from a JSON Lines file, you pass json_lines=True | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-8 | and specify jq_schema to extract page_content from a single JSON object.file_path = './example_data/facebook_chat_messages.jsonl'pprint(Path(file_path).read_text()) ('{"sender_name": "User 2", "timestamp_ms": 1675597571851, "content": "Bye!"}\n' '{"sender_name": "User 1", "timestamp_ms": 1675597435669, "content"... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-9 | jq_schema='.', content_key='sender_name', json_lines=True)data = loader.load()pprint(data) [Document(page_content='User 2', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 1}), Document(page_content='User 1', metadata={'so... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-10 | = record.get("sender_name") metadata["timestamp_ms"] = record.get("timestamp_ms") return metadataloader = JSONLoader( file_path='./example_data/facebook_chat.json', jq_schema='.messages[]', content_key="content", metadata_func=metadata_func)data = loader.load()pprint(data) [Document(page_content='B... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-11 | not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}), Document(page_content='Here is $129', metadata={... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-12 | 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}), Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-13 | jq_schema='.messages[]', content_key="content", metadata_func=metadata_func)data = loader.load()pprint(data) [Document(page_content='Bye!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1, 'sender_name': 'User 2', 'timestamp_ms': 1675... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-14 | 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}), Document(page_content='', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7, 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}), Document(page_content='Online ... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
218408cdf61f-15 | to extract content from the JSON data depending on the structure.JSON -> [{"text": ...}, {"text": ...}, {"text": ...}]jq_schema -> ".[].text"JSON -> {"key": [{"text": ...}, {"text": ...}, {"text": ...}]}jq_schema -> ".key[].text"JSON -> ["...", "...", "..."]jq_schema -> ".[]"PreviousHTMLNextM... | https://python.langchain.com/docs/modules/data_connection/document_loaders/json |
8f628e869692-0 | HTML | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersCSVFile DirectoryHTMLJSONMarkdownPDFDocument transformersText embedding modelsVector storesRetriev... | https://python.langchain.com/docs/modules/data_connection/document_loaders/html |
d1e5d115097d-0 | Markdown | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_loaders/markdown |
d1e5d115097d-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersCSVFile DirectoryHTMLJSONMarkdownPDFDocument transformersText embedding modelsVector storesRetrieversChainsMemoryAgentsCallbacksModu... | https://python.langchain.com/docs/modules/data_connection/document_loaders/markdown |
d1e5d115097d-2 | the real power comes when you can combine them with other sources of computation or knowledge.\n\nThis library aims to assist in the development of those types of applications. Common examples of these applications include:\n\nâ\x9d“ Question Answering over specific documents\n\nDocumentation\n\nEnd-to-end Example: ... | https://python.langchain.com/docs/modules/data_connection/document_loaders/markdown |
d1e5d115097d-3 | Data Augmented Generation:\n\nData Augmented Generation involves specific types of chains that first interact with an external data source to fetch data for use in the generation step. Examples include summarization of long pieces of text and question/answering over specific data sources.\n\nð\x9f¤\x96 Agents:\n\nAge... | https://python.langchain.com/docs/modules/data_connection/document_loaders/markdown |
d1e5d115097d-4 | mode="elements")data = loader.load()data[0] Document(page_content='ð\x9f¦\x9cï¸\x8fð\x9f�\x97 LangChain', metadata={'source': '../../../../../README.md', 'page_number': 1, 'category': 'Title'})PreviousJSONNextPDFCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/modules/data_connection/document_loaders/markdown |
ae2226ba3bde-0 | File Directory | 🦜�🔗 Langchain | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKGet startedIntroductionInstallationQuickstartModulesModel I/​OData connectionDocument loadersCSVFile DirectoryHTMLJSONMarkdownPDFDocument transformersText embedding modelsVector storesRetrieversChainsMemoryAgentsCallbacksModu... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-2 | can change up the type of loader pretty easily.from langchain.document_loaders import TextLoaderloader = DirectoryLoader('../', glob="**/*.md", loader_cls=TextLoader)docs = loader.load()len(docs) 1If you need to load Python source code files, use the PythonLoader.from langchain.document_loaders import PythonLoaderlo... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-3 | #bf7f7f; text-decoration-color: #bf7f7f; font-weight: bold">(most recent call last)</span><span style="color: #800000; text-decoration-color: #800000"> ────────────────────────────────╮</span><span style="color: #800000; text-decoration-color: #800000">â... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-4 | <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> <span style="color: #7f7f7f; text-decoration-color: #7f7f7f">26 </span><span style="color: #7f7f7f; text-decoration-color: #7f7f7f">│ │ </span>text = <span style="colo... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-5 | text-decoration-color: #7f7f7f">│ │ </span><span style="color: #0000ff; text-decoration-color: #0000ff">with</span> <span style="color: #00ffff; text-decoration-color: #00ffff">open</span>(<span style="color: #00ffff; text-decoration-color: #00ffff">self</span>.file_path, encoding=<span style="color: #00ffff; t... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-6 | <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> <span style="color: #800000; text-decoration-color: #800000">� </span>29 <span style="color: #7f7f7f; text-decoration-color: #7f7f7f">│ │ │ │ </span>text = f.r... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-7 | text-decoration-color: #0000ff">as</span> e: <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> <span style="color: #7f7f7f; text-decoration-color: #7f7f7f">31 </span><span style... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-8 | #7f7f7f">│ │ │ │ │ </span>detected_encodings = <span style="color: #00ffff; text-decoration-color: #00ffff">self</span>.detect_file_encodings() <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">â”... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-9 | in <span style="color: #00ff00; text-decoration-color: #00ff00">decode</span> <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> ... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-10 | #00ffff; text-decoration-color: #00ffff">input</span>, final=<span style="color: #0000ff; text-decoration-color: #0000ff">False</span>): <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-11 | │ </span>data = <span style="color: #00ffff; text-decoration-color: #00ffff">self</span>.buffer + <span style="color: #00ffff; text-decoration-color: #00ffff">input</span> <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-12 | </span><span style="color: #7f7f7f; text-decoration-color: #7f7f7f">│ │ </span><span style="color: #7f7f7f; text-decoration-color: #7f7f7f"># keep undecoded input until the next call</span> <span style="color: #800000; text-decoration-color: #800000">│</span><span style=... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-13 | #7f7f7f"> 325 </span><span style="color: #7f7f7f; text-decoration-color: #7f7f7f">│ │ </span><span style="color: #0000ff; text-decoration-color: #0000ff">return</span> result <span style="color: #800000; text-decoration-color: #800000">│</spa... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-14 | style="color: #800000; text-decoration-color: #800000">╰───────────────────────────────────────────────────────────────────────────────────────â... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-15 | style="color: #008080; text-decoration-color: #008080; font-weight: bold">0xca</span> in position <span style="color: #008080; text-decoration-color: #008080; font-weight: bold">0</span>: invalid continuation byte<span style="font-style: italic">The above exception was the direct cause of the following exception:</span... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-16 | #800000; text-decoration-color: #800000">│</span> in <span style="color: #00ff00; text-decoration-color: #00ff00"><module></span>:<span style="color: #0000ff; text-decoration-color: #0000ff">1</span> <span style="color: #800000; ... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-17 | <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> <span style="color: #7f7f7f; text-decoration-color: #7f7f7f">2 </span> <span style=... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
ae2226ba3bde-18 | <span style="color: #800000; text-decoration-color: #800000">│</span><span style="color: #800000; text-decoration-color: #800000">│</span> <span style="color: #bfbf7f; text-decoration-color: #bfbf7f">/data/source/langchain/langchain/document_loaders/</span><span style="color: #808000; text-decoration-color: #808000... | https://python.langchain.com/docs/modules/data_connection/document_loaders/file_directory |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.