There are 1 repository under advanced-rag topic.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
It shows an advanced RAG with Reflection where LangGraph is used for workflow management.
Multiple Coder assistants: This project leverages Language Model (LLM) agents to generate code snippets for users, providing assistance in various programming tasks. Additionally, it constructs a knowledge bank that can be referenced to aid in code creation for individual references.
Building a multi-agent RAG system with advanced RAG methods
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
RAG still needs to evolve. So evolution is all you need.
Discussing advanced RAG methodologies and summarizing a relevant research paper.
"RAG is all you need"