![[Week of 2/19] LangChain Release Notes](/content/images/size/w760/format/webp/2024/02/Release-Notes---3.png)
🚀 LangSmith Launch!
LangSmith is now generally available - no more waitlist! Sign up for free here.
- Video resources: LangSmith in 10 minutes & In Depth Platform Overview
- Our release blog covers all of the latest features in LangSmith
- We’ve shipped TypeScript improvements. It’s now easier to use LangSmith independent of LangChain (docs here). We also updated and improved evaluation flows (docs here)
🦜 Open Source LangGraph
Check out two new tutorials using LangGraph, our open-source framework for building stateful, multi-actor AI applications.
- Use “reflection agents” to get better results by using LLMs to check the output of an initial pass. Includes papers like Reflexion and LATS: YouTube Walkthrough & Blog
- Use “plan-and-execute” agents to better plan long-term objectives. Includes papers like ReWOO and LLM compiler: YouTube Walkthrough & Blog
💪 Retrieval
Our RAG From Scratch video series walks through important RAG concepts in short and focused videos with code. We’ve also released Chat-LangChain JS, an open source repo for building a RAG chatbot application end-to-end in JavaScript.
- RAG From Scratch series with Lance Martin - Query Translation: Decomposition, HyDE, Step-Back Prompting, RAG Fusion, Multi Query
- Chat-LangChain JS: Includes ingestion, query analysis, generation, hookup to LangSmith. GitHub here
😍 From the Community
Check out some great resources from the community!
- DataCamp course on Developing LLM Applications with LangChain
- AI Makerspace: LangGraph and OpenGPTs: Building Agent-Forward Applications with LangChain
- AI Makerspace: RAG evaluation with LangChain and RAGAS
- LangChain RAG Tutorial Series by Austin Vance
- Chat with any Website using Python and Langchain by Alejandro AO
- Upstash: Building your own RAG chatbot