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Showing content from https://python.langchain.com/v0.1/docs/modules/ below:

Components | 🦜️🔗 LangChain

Components

LangChain provides standard, extendable interfaces and external integrations for the following main components:

Model I/O​

Formatting and managing language model input and output

Prompts​

Formatting for LLM inputs that guide generation

Chat models​

Interfaces for language models that use chat messages as inputs and returns chat messages as outputs (as opposed to using plain text).

LLMs​

Interfaces for language models that use plain text as input and output

Retrieval​

Interface with application-specific data for e.g. RAG

Document loaders​

Load data from a source as Documents for later processing

Text splitters​

Transform source documents to better suit your application

Embedding models​

Create vector representations of a piece of text, allowing for natural language search

Vectorstores​

Interfaces for specialized databases that can search over unstructured data with natural language

Retrievers​

More generic interfaces that return documents given an unstructured query

Composition​

Higher-level components that combine other arbitrary systems and/or or LangChain primitives together

Tools​

Interfaces that allow an LLM to interact with external systems

Agents​

Constructs that choose which tools to use given high-level directives

Chains​

Building block-style compositions of other runnables

Additional​ Memory​

Persist application state between runs of a chain

Callbacks​

Log and stream intermediate steps of any chain

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