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🦜🔗 LangChain 0.0.194

Getting Started

  • Quickstart Guide
  • Concepts
  • Tutorials

Modules

  • Models
    • Getting Started
    • LLMs
      • Getting Started
      • Generic Functionality
        • How to use the async API for LLMs
        • How to write a custom LLM wrapper
        • How (and why) to use the fake LLM
        • How (and why) to use the human input LLM
        • How to cache LLM calls
        • How to serialize LLM classes
        • How to stream LLM and Chat Model responses
        • How to track token usage
      • Integrations
        • AI21
        • Aleph Alpha
        • Anyscale
        • Aviary
        • Azure OpenAI
        • Banana
        • Beam
        • Bedrock
        • CerebriumAI
        • Cohere
        • C Transformers
        • Databricks
        • DeepInfra
        • ForefrontAI
        • Google Cloud Platform Vertex AI PaLM
        • GooseAI
        • GPT4All
        • Hugging Face Hub
        • Hugging Face Pipeline
        • Huggingface TextGen Inference
        • Jsonformer
        • Llama-cpp
        • Manifest
        • Modal
        • MosaicML
        • NLP Cloud
        • OpenAI
        • OpenLM
        • Petals
        • PipelineAI
        • Prediction Guard
        • PromptLayer OpenAI
        • ReLLM
        • Replicate
        • Runhouse
        • SageMaker Endpoint
        • StochasticAI
        • Writer
      • Reference
    • Chat Models
      • Getting Started
      • How-To Guides
        • How to use few shot examples
        • How to stream responses
      • Integrations
        • Anthropic
        • Azure
        • Google Vertex AI PaLM
        • OpenAI
        • PromptLayer ChatOpenAI
    • Text Embedding Models
      • Aleph Alpha
      • Amazon Bedrock
      • Azure OpenAI
      • Cohere
      • DeepInfra
      • Elasticsearch
      • Fake Embeddings
      • Google Vertex AI PaLM
      • Hugging Face Hub
      • HuggingFace Instruct
      • Jina
      • Llama-cpp
      • MiniMax
      • ModelScope
      • MosaicML
      • OpenAI
      • SageMaker Endpoint
      • Self Hosted Embeddings
      • Sentence Transformers
      • Tensorflow Hub
  • Prompts
    • Getting Started
    • Prompt Templates
      • Getting Started
      • How-To Guides
        • Connecting to a Feature Store
        • How to create a custom prompt template
        • How to create a prompt template that uses few shot examples
        • How to work with partial Prompt Templates
        • Prompt Composition
        • How to serialize prompts
      • Reference
        • PromptTemplates
        • Example Selector
        • Output Parsers
    • Chat Prompt Templates
    • Example Selectors
      • How to create a custom example selector
      • LengthBased ExampleSelector
      • Maximal Marginal Relevance ExampleSelector
      • NGram Overlap ExampleSelector
      • Similarity ExampleSelector
    • Output Parsers
      • Output Parsers
      • CommaSeparatedListOutputParser
      • Datetime
      • Enum Output Parser
      • OutputFixingParser
      • PydanticOutputParser
      • RetryOutputParser
      • Structured Output Parser
  • Memory
    • Getting Started
    • How-To Guides
      • ConversationBufferMemory
      • ConversationBufferWindowMemory
      • Entity Memory
      • Conversation Knowledge Graph Memory
      • ConversationSummaryMemory
      • ConversationSummaryBufferMemory
      • ConversationTokenBufferMemory
      • VectorStore-Backed Memory
      • How to add Memory to an LLMChain
      • How to add memory to a Multi-Input Chain
      • How to add Memory to an Agent
      • Adding Message Memory backed by a database to an Agent
      • Cassandra Chat Message History
      • How to customize conversational memory
      • How to create a custom Memory class
      • Dynamodb Chat Message History
      • Entity Memory with SQLite storage
      • Momento Chat Message History
      • Mongodb Chat Message History
      • Motörhead Memory
      • Motörhead Memory (Managed)
      • How to use multiple memory classes in the same chain
      • Postgres Chat Message History
      • Redis Chat Message History
      • Zep Memory
  • Indexes
    • Getting Started
    • Document Loaders
      • OpenAIWhisperParser
      • CoNLL-U
      • Copy Paste
      • CSV
      • Email
      • EPub
      • EverNote
      • Microsoft Excel
      • Facebook Chat
      • File Directory
      • HTML
      • Images
      • Jupyter Notebook
      • JSON
      • Markdown
      • Microsoft PowerPoint
      • Microsoft Word
      • Open Document Format (ODT)
      • Pandas DataFrame
      • PDF
      • Sitemap
      • Subtitle
      • Telegram
      • TOML
      • Unstructured File
      • URL
      • WebBaseLoader
      • Weather
      • WhatsApp Chat
      • Arxiv
      • AZLyrics
      • BiliBili
      • College Confidential
      • Gutenberg
      • Hacker News
      • HuggingFace dataset
      • iFixit
      • IMSDb
      • MediaWikiDump
      • Wikipedia
      • YouTube transcripts
      • Airbyte JSON
      • Apify Dataset
      • AWS S3 Directory
      • AWS S3 File
      • Azure Blob Storage Container
      • Azure Blob Storage File
      • Blackboard
      • Blockchain
      • ChatGPT Data
      • Confluence
      • Diffbot
      • Docugami
      • DuckDB
      • Figma
      • GitBook
      • Git
      • Google BigQuery
      • Google Cloud Storage Directory
      • Google Cloud Storage File
      • Google Drive
      • Image captions
      • Iugu
      • Joplin
      • Microsoft OneDrive
      • Modern Treasury
      • Notion DB 2/2
      • Notion DB 1/2
      • Obsidian
      • Psychic
      • PySpark DataFrame Loader
      • ReadTheDocs Documentation
      • Reddit
      • Roam
      • Slack
      • Spreedly
      • Stripe
      • 2Markdown
      • Twitter
    • Text Splitters
      • Getting Started
      • Character
      • CodeTextSplitter
      • NLTK
      • Recursive Character
      • spaCy
      • Tiktoken
      • Hugging Face tokenizer
      • tiktoken (OpenAI) tokenizer
    • Vectorstores
      • Getting Started
      • AnalyticDB
      • Annoy
      • Atlas
      • Chroma
      • ClickHouse Vector Search
      • Deep Lake
      • DocArrayHnswSearch
      • DocArrayInMemorySearch
      • ElasticSearch
      • FAISS
      • LanceDB
      • MatchingEngine
      • Milvus
      • Commented out until further notice
      • MyScale
      • OpenSearch
      • PGVector
      • Pinecone
      • Qdrant
      • Redis
      • SingleStoreDB vector search
      • SKLearnVectorStore
      • Supabase (Postgres)
      • Tair
      • Tigris
      • Typesense
      • Vectara
      • Weaviate
      • Zilliz
    • Retrievers
      • Arxiv
      • AWS Kendra
      • Azure Cognitive Search
      • ChatGPT Plugin
      • Self-querying with Chroma
      • Cohere Reranker
      • Contextual Compression
      • Databerry
      • ElasticSearch BM25
      • kNN
      • Metal
      • Pinecone Hybrid Search
      • PubMed Retriever
      • Self-querying with Qdrant
      • Self-querying
      • SVM
      • TF-IDF
      • Time Weighted VectorStore
      • VectorStore
      • Vespa
      • Weaviate Hybrid Search
      • Self-querying with Weaviate
      • Wikipedia
      • Zep
  • Chains
    • Getting Started
    • How-To Guides
      • Async API for Chain
      • Creating a custom Chain
      • Loading from LangChainHub
      • LLM Chain
      • Router Chains
      • Sequential Chains
      • Serialization
      • Transformation Chain
      • Analyze Document
      • Chat Over Documents with Chat History
      • Graph QA
      • Hypothetical Document Embeddings
      • Question Answering with Sources
      • Question Answering
      • Summarization
      • Retrieval Question/Answering
      • Retrieval Question Answering with Sources
      • Vector DB Text Generation
      • API Chains
      • Self-Critique Chain with Constitutional AI
      • FLARE
      • GraphCypherQAChain
      • NebulaGraphQAChain
      • BashChain
      • LLMCheckerChain
      • LLM Math
      • LLMRequestsChain
      • LLMSummarizationCheckerChain
      • Moderation
      • Router Chains: Selecting from multiple prompts with MultiPromptChain
      • Router Chains: Selecting from multiple prompts with MultiRetrievalQAChain
      • OpenAPI Chain
      • PAL
      • SQL Chain example
    • Reference
  • Agents
    • Getting Started
    • Tools
      • Getting Started
      • Defining Custom Tools
      • Multi-Input Tools
      • Tool Input Schema
      • Apify
      • ArXiv API Tool
      • AWS Lambda API
      • Shell Tool
      • Bing Search
      • Brave Search
      • ChatGPT Plugins
      • DuckDuckGo Search
      • File System Tools
      • Google Places
      • Google Search
      • Google Serper API
      • Gradio Tools
      • GraphQL tool
      • HuggingFace Tools
      • Human as a tool
      • IFTTT WebHooks
      • Metaphor Search
      • OpenWeatherMap API
      • PubMed Tool
      • Python REPL
      • Requests
      • SceneXplain
      • Search Tools
      • SearxNG Search API
      • SerpAPI
      • Twilio
      • Wikipedia
      • Wolfram Alpha
      • YouTubeSearchTool
      • Zapier Natural Language Actions API
    • Agents
      • Agent Types
      • Custom Agent
      • Custom LLM Agent
      • Custom LLM Agent (with a ChatModel)
      • Custom MRKL Agent
      • Custom MultiAction Agent
      • Custom Agent with Tool Retrieval
      • Conversation Agent (for Chat Models)
      • Conversation Agent
      • MRKL
      • MRKL Chat
      • ReAct
      • Self Ask With Search
      • Structured Tool Chat Agent
    • Toolkits
      • Azure Cognitive Services Toolkit
      • CSV Agent
      • Gmail Toolkit
      • Jira
      • JSON Agent
      • OpenAPI agents
      • Natural Language APIs
      • Pandas Dataframe Agent
      • PlayWright Browser Toolkit
      • PowerBI Dataset Agent
      • Python Agent
      • Spark Dataframe Agent
      • Spark SQL Agent
      • SQL Database Agent
      • Vectorstore Agent
    • Agent Executors
      • How to combine agents and vectorstores
      • How to use the async API for Agents
      • How to create ChatGPT Clone
      • Handle Parsing Errors
      • How to access intermediate steps
      • How to cap the max number of iterations
      • How to use a timeout for the agent
      • How to add SharedMemory to an Agent and its Tools
    • Plan and Execute
  • Callbacks

Use Cases

  • Autonomous Agents
  • Agent Simulations
  • Agents
  • Question Answering over Docs
  • Chatbots
  • Querying Tabular Data
  • Code Understanding
  • Interacting with APIs
  • Extraction
  • Summarization
  • Evaluation
    • Agent Benchmarking: Search + Calculator
    • Agent VectorDB Question Answering Benchmarking
    • Benchmarking Template
    • Data Augmented Question Answering
    • Generic Agent Evaluation
    • Using Hugging Face Datasets
    • LLM Math
    • Evaluating an OpenAPI Chain
    • Question Answering Benchmarking: Paul Graham Essay
    • Question Answering Benchmarking: State of the Union Address
    • QA Generation
    • Question Answering
    • SQL Question Answering Benchmarking: Chinook

Reference

  • Installation
  • API References
    • Models
      • LLMs
      • Chat Models
      • Embeddings
    • Prompts
      • PromptTemplates
      • Example Selector
      • Output Parsers
    • Indexes
      • Docstore
      • Text Splitter
      • Document Loaders
      • Vector Stores
      • Retrievers
      • Document Compressors
      • Document Transformers
    • Memory
    • Chains
    • Agents
      • Agents
      • Tools
      • Agent Toolkits
    • Utilities
    • Experimental Modules

Ecosystem

  • Integrations
    • Tracing Walkthrough
    • AI21 Labs
    • Aim
    • Airbyte
    • Aleph Alpha
    • Amazon Bedrock
    • AnalyticDB
    • Annoy
    • Anthropic
    • Anyscale
    • Apify
    • Argilla
    • Arxiv
    • AtlasDB
    • AWS S3 Directory
    • AZLyrics
    • Azure Blob Storage
    • Azure Cognitive Search
    • Azure OpenAI
    • Banana
    • Beam
    • BiliBili
    • Blackboard
    • Cassandra
    • CerebriumAI
    • Chroma
    • ClearML
    • ClickHouse
    • Cohere
    • College Confidential
    • Comet
    • Confluence
    • C Transformers
    • Databerry
    • Databricks
    • DeepInfra
    • Deep Lake
    • Diffbot
    • Discord
    • Docugami
    • DuckDB
    • Elasticsearch
    • EverNote
    • Facebook Chat
    • Figma
    • ForefrontAI
    • Git
    • GitBook
    • Google BigQuery
    • Google Cloud Storage
    • Google Drive
    • Google Search
    • Google Serper
    • Google Vertex AI
    • GooseAI
    • GPT4All
    • Graphsignal
    • Gutenberg
    • Hacker News
    • Hazy Research
    • Helicone
    • Hugging Face
    • iFixit
    • IMSDb
    • Jina
    • LanceDB
    • Llama.cpp
    • MediaWikiDump
    • Metal
    • Microsoft OneDrive
    • Microsoft PowerPoint
    • Microsoft Word
    • Milvus
    • MLflow
    • Modal
    • Modern Treasury
    • Momento
    • MyScale
    • NLPCloud
    • Notion DB
    • Obsidian
    • OpenAI
    • OpenSearch
    • OpenWeatherMap
    • Petals
    • PGVector
    • Pinecone
    • PipelineAI
    • Prediction Guard
    • PromptLayer
    • Psychic
    • Qdrant
    • Ray Serve
    • Rebuff
    • Reddit
    • Redis
    • Replicate
    • Roam
    • Runhouse
    • RWKV-4
    • SageMaker Endpoint
    • SearxNG Search API
    • SerpAPI
    • Shale Protocol
    • scikit-learn
    • Slack
    • spaCy
    • Spreedly
    • StochasticAI
    • Stripe
    • Tair
    • Telegram
    • Tensorflow Hub
    • 2Markdown
    • Trello
    • Twitter
    • Unstructured
    • Vectara
    • Vespa
    • Weights & Biases
    • Weather
    • Weaviate
    • WhatsApp
    • WhyLabs
    • Wikipedia
    • Wolfram Alpha
    • Writer
    • Yeager.ai
    • YouTube
    • Zep
    • Zilliz
  • Dependents
  • Deployments

Additional Resources

  • LangChainHub
  • Deploying LLMs in Production
  • Gallery
  • Tracing
  • Model Comparison
  • Discord
  • YouTube
  • Production Support
  • .rst

How-To Guides

How-To Guides#

The examples here all address certain “how-to” guides for working with chat models.

  • How to use few shot examples
  • How to stream responses

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Getting Started

next

How to use few shot examples

By Harrison Chase

© Copyright 2023, Harrison Chase.

Last updated on Jun 08, 2023.