rag

RAG Search API

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems

Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

AuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery.

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

Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.

如影随形 · 本地优先桌面工作日志：富文本记录、语义检索、工作台总结/问答；模型自配，数据留在本机。 Local-first desktop work journal—rich logs, semantic search, AI summary & Q&A. BYO models, data stays yours.

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 AI applications.

[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation

Chat with your documents using local AI

Dynamiq is an orchestration framework for agentic AI and LLM applications

Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG, Docker. AI对话式搜索引擎，支持DeepResearch, 支持OpenAI/Anthropic/VertexAI/Gemini接口、聚合搜索引擎SearXNG，支持Docker一键部署。

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

TypeScript AI AI Function Calling Framework enhanced by compiler skills.

A @ClickHouse fork that supports high-performance vector search and full-text search.

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

AI equity research agent with resilient workflows, evidence-grounded RAG, versioned reports, and automated quality evaluation.

TurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC