Conversational AI tools for support, sales, research, and internal knowledge.
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,.
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight,.
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.
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.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector.
AingDesk AI , API、 , 。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet sea...
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to.
Langchain-Chatchat( Langchain-ChatGLM) Langchain ChatGLM, Qwen Llama RAG Agent | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based...
A conversational Q&A agent configuration system, self-hosted deployment solutions, and a convenient all-in-one application SDK, allowing you to create intelligent Q&A.
🚀 One-stop solution for creating your AI twin from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring.
Unified framework for building enterprise RAG pipelines with small, specialized models
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Agent Harness 。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAg...
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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,.
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI.
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for.
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
Prompt ,Skill ,Agent AI , , skills , Agent , , , | An all-in-one AI toolbox for prompt, agent, and skills management. Reuse prom...
Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG, Docker. AI , DeepResearch, OpenAI/Anthropic/Vert...
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral).
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
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Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta,.
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A self-hosted AI agent built to drop into business workflows: customer ops, internal automation, knowledge retrieval, scheduled reporting. Deploys on a laptop, a.
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Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo:
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.
ClawdSecbot is a professional AI Bot security protection solution, providing security capabilities including real-time threat detection, prompt injection protection,.
Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.
LightningRAG is a full-stack Vue + Gin starter with a decoupled frontend and backend, plus built-in, extensible RAG (retrieval-augmented generation): knowledge bases,.
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Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI,.
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This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to.
The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
RAG-powered documentation assistant that converts, processes, and provides semantic search capabilities for Odoo's technical documentation. Supports multiple Odoo.
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval,.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your.
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open-source agentic AI data assistant for the next generation of AI + Data products.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest.
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The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Spring Boot 4.1 + Java 21 + Spring AI 2.0 + PostgreSQL + pgvector + RustFS + Redis, AI RAG 。 , 。
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Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base.
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(LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
High accuracy RAG for answering questions from scientific documents with citations
Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 51 rules mapped to OWASP Agentic Top 10 (2026). Works with LangChain,.
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving.
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.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
A privacy-focused AI chat platform built with Vite + Capacitor + Cloudflare. Runs locally or in the cloud, supports Gemini models, live web search, and intelligent key.
This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt.
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres +.
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord:
DeepSeek Web browser extension: AI agent workspace with MCP tools, memory, Skills, automation, web search, and conversation export.
Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF, 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG.
Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative.
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Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
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A self-healing web scraper built for hostile sites: selectors repair themselves, browser rendering kicks in when needed, and Chrome TLS fingerprinting evades bot.
ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins. Sandbox-secured, ultra-small 30MB installer for macOS & Windows (install in 1 min). Connects to.
Explore this repository for GenAI samples on SAP Business Technology Platform (SAP BTP). We provide examples for single and multitenant versions, showcasing.
A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral memory, and validates.
Multi-agent equity research system with deterministic signal fusion — 3 specialized agents (ReAct, FinBERT, Plan-and-Solve + RAG) produce BUY/NEUTRAL/SELL decisions.
Shortcuts for Siri using ChatGPT API, supports continuous conversations, configure the API key & save chat records. ChatGPT API Siri, , API key, promp...
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web.
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini,.
Application implementation with business use cases for safely utilizing generative AI in business operations
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
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Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and.
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All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in.
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
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[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Cut LLM costs by up to 80% and unlock sub-millisecond responses with intelligent semantic caching.A drop-in, provider-agnostic LLM proxy written in Go with.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes.
OpenLake is a high performance storage engine for efficient LLM inference and GPU Training
A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention
MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps,.
An Educational Project (step by step) to teach how to build a production-ready app for RAG application.
Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG. Finds what RAG misses. Zero cloud, zero cost.
PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API
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Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure.
⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
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Buddhist Digital Text Platform — 10,500+ texts, 613 sources, trilingual cross-canon, AI Q&A (RAG), knowledge graph, full-text search
A pure-Python context management layer for LLM systems — retrieval, re-ranking, memory decay, and token-budget enforcement in one pipeline.
Open-source reverse engineering lab: 197-article knowledge base + MCP tools + CTF/APK/PE automation toolchain. Agent-native.
AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression.
[ACL 2026 Oral] UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
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This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo:
💻 AI , Tauri2.0 Next.js A simple, practical, and lightweight local AI chat client, written in Tauri 2.0 & Next.js.
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
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Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.
An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI
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A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
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All-in-one AI workspace for chat, RAG, plans, MCP tools, and agents with multi-provider model support. ⭐ Star this repo if you find it useful!
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...
DataMate is an enterprise-level data processing platform designed for model fine-tuning and RAG retrieval.
🦞 Your AI Personal Assistant. An intelligent assistant with memory, skills, and scheduled tasks that truly understands you. Helping you tackle everything in work and.
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The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.
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[arxiv: 2503.23895] Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability.
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library
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A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall in RAG). | Doc2X API python , ( PDF RAG )。
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
AI assistant with chat, workflow automation, and semantic search (RAG). Powered by Gemini API.
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
An interactive visualization tool for understanding Retrieval-Augmented Generation (RAG) pipelines.
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. RAG , LLM、embedding reranker , GraphRAG, agent 。
Open source file-system and knowledge based agent template. Build AI agents that stay up to date with your knowledge base
Open-source AI Employee Platform — Create AI employees that collaborate with your real team in WeCom, DingTalk, and Feishu, just like hiring a few more colleagues.
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Advanced prompt injection defense system for AI agents. Multi-language detection, severity scoring, and security auditing.
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Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents.
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
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MoLing is a computer-use and browser-use based MCP server. It is a locally deployed, dependency-free office AI assistant.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
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GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min
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[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
A RAG (Retrieval-Augmented Generation) solution Based on Advanced Pre-generated QA Pairs. QA RAG
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[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections.
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Open-source AI customer support platform — RAG knowledge base, multi-provider LLM agents, embeddable chat widget. FastAPI + Next.js + pgvector.
RAG , AI , 。 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek...
[KDD 2026] MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
Interact with the Deep Search platform for new knowledge explorations and discoveries
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.