FarazF19/Langchain-basics
A beginner-friendly LangChain project that demonstrates the core steps of building a Retrieval-Augmented Generation (RAG) GenAI app — including data ingestion, chunking, embeddings, vectorstores (FAISS/Chroma), retrievers, and LLM response chains using OpenAI GPT-4o.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/FarazF19/Langchain-basics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PeterLu798/langchain-demo
向量化、RAG增强、智能体Agent、LangChain LCEL 管道组合等等。持续更新...
Irfan140/Generative-AI
This Repo inlcudes all my learnings in GenAI and LLM path. It inlcudes Lanchain modules, how to...
reddgr/langchain-and-rag-notebooks
Langchain and RAG notebooks
Dotmebhanu/langchain-lab
This repository contains my learning experiments with LangChain and RAG.
di37/langchain-rag-basic-to-advanced-tutorials
It includes the concepts for RAG application from basics till advanced using LangChain library.