langchainjs-langgraphjs-play

quickstart boilerplate for langchainjs/langgraphjs

features

• examples(mostly with langgraph)

  • llm with groq api
  • ✨ llm with local llm, tested with LM Studio
  • tool call: tavily api
  • structured output

• RAG

  • simple
  • generate_query_or_respond
  • memory: chat history
  • docs grading

quickstart

npm i

# Option 1: use local llm, configure the `baseURL` in code then run
npx tsx ./langchain/chain-groq1-chat-local-mini.ts

# Option 2: use groq api, configure the `GROQ_API_KEY` first
cp .env.example .env
npx tsx ./langchain/chain-groq1-chat-starter.ts

roadmap

• graph.stream not work with local llm

notes

• examples in python: https://github.com/uptonking/langchain-langgraph-play

• why does rag return only one relavent doc?

  • changing embedding model may help

license

MIT