“embedded”

High-performance vector database built for scalable vector ANN search

Semantic code search engine powered by vector embeddings

All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Neum AI is a best-in-class framework for managing vector embeddings at large scale.

A vector index built on TurboQuant with Rust and Python bindings

Crawls web pages and documents, extracts text content, generates embeddings for summaries and answers questions.

SocratiCode provides advanced codebase intelligence with zero-setup, local and private hybrid semantic search capabilities.

Langchain-Chatchat is a local knowledge-based RAG and Agent application for LLMs like ChatGLM, Qwen and Llama.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Multi-modal vector database supporting unified SQL access to structured and unstructured data

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

A lightweight, lightning-fast, in-process vector database

Developer-friendly embedded retrieval library for multimodal AI

Proactive context-aware AI partner

Distributed vector search for AI-native applications

Persistent Context Across Sessions for Every Agent

Highly Performant, Modular and Memory Safe Ingestion, Inference and Indexing in Rust

ArcadeDB Multi-Model Database

High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI.

Repository showcasing advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Turn Documents into Living Knowledge with RAG, Agents and Auto-Wiki

Memory layer for AI Agents

Convert documents to structured data effortlessly

LangChain4j: Java-friendly Library for LLM Integration

Code search for AI coding agents, making your entire codebase available as context.

The all-in-one, open-source backend platform for agentic coding.

A complete search engine and RAG pipeline in your browser, server or edge network with full-text, vector, and hybrid search support.

大模型应用开发实战一：RAG技术全栈指南

Postgres with GPUs for ML/AI applications.

Memory library for building stateful agents

Less Code, Lower Barrier, Faster Deployment

AI-native database for LLM applications with fast hybrid search capabilities.

Local persistent memory store for LLM applications

Interactive tutorials and examples for mastering Milvus with unstructured data applications.

LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT-4 and other LLMs

A simple, fast and versatile Datalog database

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

LLM-powered knowledge curation and report generation

Unified platform to evaluate and improve Generative AI applications

Unified multimodal backend for AI data apps