All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
-
Updated
May 23, 2025 - Python
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
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.
It shows an advanced RAG with Reflection where LangGraph is used for workflow management.
The only prototyping Multi-Agent systems repo you will need, running on dockers
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
A multi-agent chat application combining flight search, news retrieval, and financial document analysis using LangGraph and advanced RAG. Features a hybrid search strategy with BM25, vector similarity, and MMR, enhanced by Cohere re-ranking for accurate document retrieval.
Advanced RAG using langgraph which uses websearch functionality to produce relevant documents.
AI Application Development - Concept Study - Advanced RAG Flow
Add a description, image, and links to the advanced-rag topic page so that developers can more easily learn about it.
To associate your repository with the advanced-rag topic, visit your repo's landing page and select "manage topics."