For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
LlamaIndex is the document processing platform for AI
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
A lightweight, lightning-fast, in-process vector database
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 stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
The AI search platform
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
The Best GUI for Milvus
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
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-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Practical course about Large Language Models.
OpenCode plugin that gives coding agents persistent memory using local vector database
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
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.
The backend agents build with - Multimodal database, orchestration, and serving in one file
The open document intelligence platform for builders and hackers - DMS for the agentic world
A simple, fast and versatile Datalog database
Python SDK for Milvus Vector Database
A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Python client for Qdrant vector search engine
Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
local-first semantic code search engine
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Benchmark for vector databases.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.