RAG

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

中文优先的企业 RAG 知识库：可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

基于 Spring Boot 4.1、Java 25、Spring AI 2.0、React、PostgreSQL/pgvector、Redis 和 RustFS 构建的开源 AI 面试平台，支持简历智能分析、模拟面试、语音面试和知识库 RAG。

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

NestJS Helper + AI Chatbot Development

Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Local-first search across your workspace, built for humans and AI agents.

AI Agent 工程师面试资料库 - 国内大厂面经、岗位要求、高频面试题

One line code to get any remote sensing foundation model embeddings for any place and any time

Open multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 30 regions. Semantic search via Qdrant vector DB

The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database.

Build, run and scale AI agents like API and microservices

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Fast State-of-the-Art Static Embeddings

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

Long-term memory for any AI agent. One Rust binary, offline, 98.2% recall@5 on LongMemEval-S. Self-host free or use Uteke Cloud.

SQL as a Function for Rust — an embedded SQL database with a typed ORM and pluggable LMDB/RocksDB storage.

A blazing fast inference solution for text embeddings models

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Semantic Search & Call Graphs for AI Agents (100% Local)

Documentation compiler for humans and machines. One Markdown source to website, search, AI context, and knowledge formats together.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Microsoft Foundry (demos, documentation, accelerators).

Open-source inference server and production cluster for all the models your agent needs.

按问题复杂度自动分流的电商客服 RAG：简单问题直接回答；复杂问题经过多跳检索并自我纠错；查单、退改通过工具调用完成，且高风险写操作必须先经人工确认。基于 FastAPI 和 LangGraph，混合检索并附带引用，内置离线评测与 Prometheus 指标。涵盖简历写法和项目面试拷打

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Meet JevEmbed — turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.

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 structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Practical course about Large Language Models.

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.

VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

Claude Code and Codex working as one team: one shared memory (voice included), each sees the other's latest messages. Plus searchable notes, self health checks, and phone access with the laptop shut.

Give every agent your team's brain on day one. The memory layer for AI agents. Everything your team knows. Cited, and always up to date.