![]() ![]() ![]() LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.ĭata Augmented Generation involves specific types of chains that first interact with an external data source to fetch data for use in the generation step. This includes prompt management, prompt optimization, a generic interface for all LLMs, and common utilities for working with LLMs.Ĭhains go beyond a single LLM call and involve sequences of calls (whether to an LLM or a different utility). These are, in increasing order of complexity: ![]() There are six main areas that LangChain is designed to help with. Resources (high-level explanation of core concepts).How-To examples (demos, integrations, helper functions).Getting started (installation, setting up the environment, simple examples).Please see here for full documentation on: End-to-end Example: Question Answering over Notion Database.❓ Question Answering over specific documents Common examples of these applications include: This library aims to assist in the development of those types of applications. However, using these LLMs in isolation is often insufficient for creating a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. Pip install langsmith & conda install langchain -c conda-forge □ What is this? LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.įill out this form to get off the waitlist or speak with our sales team Quick Install To help you ship LangChain apps to production faster, check out LangSmith. Looking for the JS/TS version? Check out LangChain.js. ⚡ Building applications with LLMs through composability ⚡ ![]()
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