RAG
A simple Langchain RAG application.
🦜🔗 The platform for reliable agents.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Rag (Retreival Augmented Generation) Python solution with llama3, LangChain, Ollama and ChromaDB in a Flask API based solution
Split text into semantic chunks, up to a desired chunk size. Supports calculating length by characters and tokens, and is callable from Rust and Python.
This repo demonstrates the development of Retrieval Augmented Generation (RAG).
Agentic components of the Llama Stack APIs
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Streaming with LCEL - RAG Demoproject with Frontend
Knowledge Agents and Management in the Cloud
This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Generation
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 showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A modular graph-based Retrieval-Augmented Generation (RAG) system
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.dig…
Dynamic Metadata based RAG Framework
Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Findings of ACL 2024]
Code for explaining and evaluating late chunking (chunked pooling)
An open-source RAG-based tool for chatting with your documents.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The easiest way to use Agentic RAG in any enterprise
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.