Back to projects
AI & ML
Advanced-RAG-LangGraph by chitralputhran
Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities. Maintained by chitralputhran on GitHub, where it has earned 37 stars from the community.
chitralputhran
Maintainer
37 stars
More LangChain projects
AI & ML
Clone of writesonic.com & copy.ai - BlogIQ is an innovative app powered by OpenAI and Langchain, designed to streamline the content creation process for bloggers. Maintained by BlueBash on GitHub, where it has earned 44 stars from the community.
B
2y agoAI & ML
This project implements an advanced Retrieval Augmented Generation (RAG) workflow to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and web search fallback. Maintained by junfanz1 on GitHub, where it has earned 22 stars from the community.
J
1y agoAI & ML
My attempt at implementing retreival augmented generation on Ollama and other LLM services using chromadb and langchain while also providing an easy to understand, clean code for others since nobody else does. Maintained by yussufbiyik on GitHub, where it has earned 52 stars from the community.
Y
12mo ago