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BytesAgain β€Ί Skills β€Ί Building Rag Applications With Langchain
πŸ¦€ ClawHub

Building Rag Applications With Langchain

by @robinyves

Learn to build Retrieval-Augmented Generation (RAG) applications using LangChain with Python and FAISS vector stores for enhanced AI retrieval.

Versionv1.0.0
Downloads411
#coding#legal#education
TERMINAL
clawhub install building-rag-applications-with-langchain

πŸ“– About This Skill

Building RAG Applications with LangChain

Description

Automatically generated AI learning skill from curated web and social media sources.

Steps

1. Learn how to build Retrieval-Augmented Generation applications. 

2. from langchain.chains import RetrievalQA
3. from langchain.vectorstores import FAISS
4. qa_chain = RetrievalQA.from_chain_type(llm=llm, retriever=vectorstore.as_retriever())
Code Examples
python from langchain.chains import RetrievalQA from langchain.vectorstores import FAISS qa_chain = RetrievalQA.from_chain_type(llm=llm, retriever=vectorstore.as_retriever()) ```

Dependencies

  • Python 3.8+
  • Relevant libraries (see code examples)