Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
TencentDB Agent Memory is a team-level memory hub for AI Agents โ turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
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 Redisยฎ and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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/
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
A modern replacement for Redis and Memcached
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch โก ๐ โจ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
A vector index built on TurboQuant, written in Rust with Python bindings
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 databaseโ.
[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.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Refine high-quality datasets and visual AI models
๐ 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 โ open-source, multi-model, one engine for your most demanding workloads.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. โ 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.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
The AI search platform
Go Open Source, Distributed, Simple and efficient Search Engine
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Fast Open-Source Search & Clustering engine ร for Vectors & Arbitrary Objects ร in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram ๐
Local-first search across your workspace, built for humans and AI agents.
ACID Document Database
Open-source inference server and production cluster for all the models your agent needs.
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.
LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search โ powering next-generation BI and AI workloads.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.
A new SOTA for RAG โ an original retrieval architecture and an open-source knowledge base for humans and agents.
Build LLM-powered applications in Ruby
Semantic Search & Call Graphs for AI Agents (100% Local)
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types โ from 6-bit floats to 64-bit complex โ across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go ๐
JVector: the most advanced embedded vector search engine
Vald. A Highly Scalable Distributed Vector Search Engine
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Python client for Qdrant vector 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.
๐ฅค RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Benchmark for vector databases.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Rust library for generating vector embeddings and reranking locally!
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
A repository of code samples for Vector search capabilities in Azure AI Search.
A high performance Vector Database leveraging parallel graph computing
cuVS - a library for vector search and clustering on the GPU
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
NucliaDB, The AI Search database for RAG
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corporaโwith retrieval and evaluation tooling included.
TypeScript AI agent framework: cognitive memory, dynamic personalities, emergent behaviors and self-building designs