Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

Unified framework for building enterprise RAG pipelines with small, specialized models

LlamaIndex is the leading document agent and OCR platform

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

Efficient Retrieval Augmentation and Generation Framework

The LLM Evaluation Framework

Automated Evaluation of RAG Systems

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

An open-source RAG-based tool for chatting with your documents.

Production-ready platform for agentic workflow development.

Deploy langgenious/dify, an LLM based app on kubernetes with helm chart.

Fast State-of-the-Art Static Embeddings

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

This package, developed as part of our research detailed in the Chroma Technical Report, provides tools for text chunking and evaluation. It allows users to compare different chunking methods and i…

Everything you need to know to build your own RAG application

This is the repo for the LegalBench-RAG Paper: https://arxiv.org/abs/2408.10343.

[NeurIPS'24] UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis

Benchmarking library for RAG

Train an adapter for any embedding model in under a minute

SPLADE: sparse neural search (SIGIR21, SIGIR22)

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…

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.