Trending repositories for topic retrieval-augmented-generation

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Ll...

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Retrieval and Retrieval-augmented LLMs

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

Agent S: an open agentic framework that uses computers like a human

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

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

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced info...

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Agent S: an open agentic framework that uses computers like a human

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in...

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL...

A list of software that allows searching the web with the assistance of AI.

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Awesome music generation model——MG²

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Ll...

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

Retrieval and Retrieval-augmented LLMs

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

Agent S: an open agentic framework that uses computers like a human

Harness LLMs with Multi-Agent Programming

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

The code used to train and run inference with the ColPali architecture.

The forthcoming work.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

The forthcoming work.

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced info...

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

[EMNLP'24] RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

Agent S: an open agentic framework that uses computers like a human

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android

Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"

[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

CodeRAG-Bench: Can Retrieval Augment Code Generation?

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Ll...

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

Retrieval and Retrieval-augmented LLMs

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

A list of software that allows searching the web with the assistance of AI.

A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

The code used to train and run inference with the ColPali architecture.

The forthcoming work.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

The forthcoming work.

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced info...

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.

A list of software that allows searching the web with the assistance of AI.

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

Parsing-free RAG supported by VLMs

Rust library for generating vector embeddings, reranking locally

A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"

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

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

The open source platform for AI-native application development.

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

The code used to train and run inference with the ColPali architecture.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

Agent S: an open agentic framework that uses computers like a human

TrustRAG：The RAG Framework within Reliable input,Trusted output

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

A list of software that allows searching the web with the assistance of AI.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on...

Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Ll...

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

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

The open source platform for AI-native application development.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...

Retrieval and Retrieval-augmented LLMs

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

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

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Harness LLMs with Multi-Agent Programming

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

All-in-one infrastructure for search, recommendations, RAG, and analytics offered via API

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

The code used to train and run inference with the ColPali architecture.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

The open source platform for AI-native application development.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

AgentSearch is a framework for powering search agents and enabling customizable local search.

In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.

Data-Driven Evaluation for LLM-Powered Applications

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses WebLLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space

A collection of the the best ML and AI news every week (research, news, resources)

Fluid Database

Agent S: an open agentic framework that uses computers like a human

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

Setup and run a local LLM and Chatbot using consumer grade hardware.

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models