Tags: #rag

An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows from prototype to production.

Onyx is an open-source AI platform providing a feature-rich interface for Large Language Models, enabling advanced AI chat with RAG, web search, and agentic capabilities.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

FastGPT is an AI Agent building platform offering out-of-the-box data processing, RAG retrieval, and visual AI workflow orchestration for complex question-answering systems.

An LLM-powered framework for enterprise-grade document understanding, semantic retrieval, and context-aware Q&A using RAG and ReACT 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.

An open LLM devops platform for building, deploying, and managing next-generation enterprise AI applications with comprehensive features like GenAI workflow, RAG, and Agent capabilities.

An open-source framework for building, deploying, and managing autonomous multi-agent AI applications with a modern, extensible platform.

A user-friendly, extensible, and feature-rich self-hosted AI platform supporting various LLM runners like Ollama and OpenAI-compatible APIs, with built-in RAG capabilities.

An open-source platform for building enterprise-grade AI agents, integrating RAG, workflows, and tool-use for intelligent Q&A and complex business scenarios.

LightRAG is a simple and fast Retrieval-Augmented Generation (RAG) system designed for efficient and scalable knowledge retrieval and generation with Large Language Models.

LlamaIndex is an open-source framework for building agentic applications, specializing in document processing, OCR, parsing, and indexing to empower LLMs.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, built around an embeddings database.

An all-in-one visual development platform that simplifies the creation, debugging, and deployment of AI agents using low-code/no-code approaches.

A cross-platform Markdown AI note-taking application that leverages AI to transform fragmented knowledge into organized, readable notes.

PageIndex is a vectorless, reasoning-based RAG system that builds a hierarchical tree index from long documents for agentic, context-aware retrieval, simulating human expert navigation.

DocsGPT is an open-source private AI platform for building intelligent agents, assistants, and enterprise search solutions with robust document analysis and multi-model support.

A unified framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs optimized for on-device and edge deployment.

A comprehensive toolkit providing state-of-the-art embedding and reranker models for efficient information retrieval and Retrieval-Augmented Generation (RAG) applications.

GraphRAG is a modular, graph-based Retrieval-Augmented Generation (RAG) system that leverages LLMs to extract structured data from unstructured text, enhancing reasoning on private datasets.

A one-stop enterprise-grade AI application development framework supporting multi-vendor LLM integration, secure knowledge bases, visual workflow orchestration, and multi-agent collaboration to rapidly build AI agent applications.

An enterprise-grade, multi-tenant AI agent development platform from China Unicom, offering full-lifecycle model management, workflow orchestration, and RAG capabilities for secure and efficient AI application building.

LEANN is an innovative vector database enabling fast, accurate, and 100% private RAG on personal devices with 97% storage savings.

A comprehensive collection of practical examples, tutorials, and recipes for building powerful LLM-powered applications.

LangChain4j is an open-source Java library that simplifies the integration of Large Language Models (LLMs) into Java applications.

A comprehensive guide and collection of recipes for building with the Llama model family, covering inference, fine-tuning, RAG, and end-to-end use cases.

A comprehensive, full-stack guide to Retrieval-Augmented Generation (RAG) technology, covering theory, practice, and engineering best practices for building LLM applications.

A comprehensive, job-oriented guide for AI Agent development, covering core technologies, practical projects, and interview preparation.

A beginner-friendly tutorial for LLM application development, focusing on building a personal knowledge base assistant using cloud services.

A comprehensive repository showcasing advanced Retrieval-Augmented Generation (RAG) techniques through detailed, practical notebook tutorials.

Simplifies the deployment of agentic Retrieval Augmented Generation (RAG) applications within enterprise cloud infrastructure, offering an open-source alternative to custom GPTs.

A Streamlit app to build and query custom Retrieval-Augmented Generation (RAG) pipelines over your data using natural language.

A unified Ruby API for integrating with diverse Large Language Models (LLMs) from multiple providers, streamlining AI application development.

A free, comprehensive platform for building, evaluating, and optimizing AI systems, offering tools for RAG, fine-tuning, agents, and synthetic data generation.

An AI-powered extension for Paperless-ngx that automates document classification, smart tagging, and enables semantic search using various AI models.

UltraRAG is a low-code framework leveraging the Model Context Protocol (MCP) to simplify the construction and orchestration of complex, innovative RAG pipelines for AI applications.

An open-source, cloud-native vector database enabling semantic search at scale by combining vector similarity with structured filtering and integrated AI models.

An open-source, offline-deployable RAG and Agent application built with Langchain, supporting various local and online Large Language Models for knowledge-based Q&A.

A comprehensive Chinese-language guide to getting started with LangChain, enabling developers to build powerful applications powered by large language models.

Learn to design, train, and deploy a real-time financial advisor LLM system using a hands-on, three-pipeline approach.

An open-source Backend as a Service (BaaS) platform for developing, deploying, and managing LLM-based AI agents and applications.

An intelligent dialogue system leveraging RAG technology to build Q&A services based on your custom knowledge base.

A ComfyUI extension providing a comprehensive LLM agent framework for building custom AI assistants, integrating diverse AI models, and automating complex workflows.

An open-source playbook offering end-to-end, code-first tutorials for building and deploying production-grade GenAI agents from prototype to enterprise scale.

A modular, API-driven RAG framework designed for building scalable, production-ready AI applications, addressing the complexities of deploying RAG systems beyond prototyping.

A comprehensive practical guide and accompanying codebase for building, deploying, and monitoring advanced LLM and RAG applications on AWS, emphasizing LLMOps best practices.

An open-source course teaching how to build a production-ready Second Brain AI assistant leveraging LLMs, RAG, agents, and LLMOps for personal knowledge management.

An end-to-end AI Agent Engineering Platform providing an open-source TypeScript framework for building intelligent agents and a console for operations and observability.

An open-source, embedded retrieval library and multimodal AI lakehouse designed for fast, scalable vector search and data management in AI/ML applications.

An AI-native database optimized for LLM applications, offering incredibly fast hybrid search across dense vectors, sparse vectors, tensors, and full-text data.

HelixDB is an open-source, Rust-built graph-vector database that consolidates multiple data models to simplify AI application development.

Memvid is a serverless, single-file memory layer for AI agents, offering instant retrieval and long-term memory by replacing complex RAG pipelines and vector databases.

An interactive learning platform providing tutorials and demos to master Milvus for building AI applications with unstructured data.

A tiny, versatile JavaScript search engine offering full-text, vector, and hybrid search with RAG capabilities for browser, server, and edge.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data, always in sync with various data sources.

A comprehensive AI development tutorial project based on Spring Boot 3 and Spring AI, guiding developers to build AI applications and agents with core AI technologies.

An open-source platform leveraging LLMs and vector databases to enable deep research, intelligent Q&A, and comprehensive reporting on private enterprise data.

An all-in-one API platform providing advanced search, recommendations, and Retrieval-Augmented Generation (RAG) capabilities for developers.

A free, hands-on course teaching how to build and deploy production-ready LLM and RAG systems, including a personalized 'LLM Twin', using LLMOps best practices.

A comprehensive repository offering practical implementations and evaluation guidance for advanced and agentic Retrieval-Augmented Generation (RAG) techniques.

An application for generating high-quality datasets for LLM fine-tuning, RAG, and evaluation, featuring intelligent document processing and a comprehensive evaluation system.

A structured, community-driven learning platform designed to make complex applied AI concepts accessible and practical for everyone.

A comprehensive guide and resource hub for prompt engineering, context engineering, RAG, and AI Agents, designed to empower developers and researchers in leveraging large language models.

Morphik Core is an AI-native platform providing accurate document search and storage for building robust AI applications, specifically designed to handle complex, visually rich, and multimodal data, overcoming the limitations of traditional RAG.

A user-friendly web GUI for various LLMs, enhancing interaction with features like agents, file-based QA, and finetuning.

An open-source framework that automates the evaluation and optimization of Retrieval-Augmented Generation (RAG) pipelines using AutoML-style techniques for specific datasets.

A collaborative, spreadsheet-like platform for building, experimenting with, and evaluating AI applications, especially those leveraging Retrieval-Augmented Generation (RAG).

ChatWiki is an AI agent and RAG knowledge base platform for WeChat official accounts, enabling workflow automation and intelligent customer service.

PostgresML integrates machine learning and AI capabilities, including GPU acceleration and large language models, directly into PostgreSQL, eliminating the need for separate systems and data transfers.

A private, local-first AI-powered desktop app for personal knowledge management, offering automatic note linking, semantic search, and Q&A on your notes.

An AI-powered large language model designed to generate compelling product descriptions and sales pitches, enhancing live streaming and e-commerce sales.

HuixiangDou is an LLM-powered professional knowledge assistant designed to provide accurate technical support in group chat environments without message flooding.

A cross-platform C#/.NET library for efficient local inference of large language models (LLMs) like LLaMA and LLAVA.

A native macOS app that allows users to chat with a local LLM, responding with information from files, folders, and websites on your Mac, ensuring privacy and offline functionality.