# langchain-ai/chat-langchain

Repository: https://github.com/langchain-ai/chat-langchain
Canonical: https://ross.abutalabs.com/products/chat-langchain
Homepage: https://chat.langchain.com
Language: TypeScript
License: MIT
License Family: permissive
Last push: 2026-08-25T04:31:06+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 94
- inputs: {"age_days": 1325, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6441, forks 1490 (observed 2026-08-28T04:09:43.422171+00:00)

## What it is
Chat LangChain is a production-ready documentation assistant agent that answers questions about LangChain, LangGraph, and LangSmith, built with Managed Deep Agents and LangGraph. It includes a Python backend agent with documentation search, support KB lookup, link validation, and guardrails, plus a Next.js chat frontend.

## Use cases
- build a chatbot that answers questions from documentation
- deploy a production RAG assistant over docs
- learn how to build agents with LangGraph
- add guardrails to keep an LLM chatbot on-topic
- create a support assistant backed by a knowledge base
- self-host a documentation Q&A chat UI

## When to choose
- you want a reference implementation of a production RAG/agent chatbot
- you need a docs assistant for LangChain ecosystem tools
- you want to see Managed Deep Agents, MCP connectors, and guardrails in practice

## When to avoid
- you need a generic no-code chatbot builder
- your docs are unrelated to LangChain and you want an out-of-the-box solution without customization
- you cannot use external LLM API keys or managed services

## Facets
- artifact type: application
- maturity: active
- function: rag, agent-framework, chatbot, search-engine, web-framework
- domain: large-language-models, documentation, chatbots
- platform: python, self-hosted
- tags: langgraph, langchain, deep-agents, nextjs, documentation-assistant, mcp, guardrails, retrieval-augmented-generation, ai-agents, nodejs, web-server

## Member repositories
- langchain-ai/chat-langchain (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.422171+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:42.633844+00:00, confidence not recorded.
  - readme: https://github.com/langchain-ai/chat-langchain (fetched 2026-08-28T04:09:43.422171+00:00, sha 85c3e9af8b0c)
  - homepage: https://chat.langchain.com (fetched 2026-08-29T08:41:49.407725+00:00, sha 3b9a1b45ab8a)
- Data as of 2026-08-30T08:39:29.467469+00:00.