A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configration.

LlamaIndex is the leading document agent and OCR platform

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 search and retrieval database for AI applications.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

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​.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Knowledge Engine for AI Agent Memory in 6 lines of code

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

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

🌌 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.

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Private & local AI personal knowledge management app for high entropy people.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

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.

AI + Data, online. https://vespa.ai

Postgres with GPUs for ML/AI apps.

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

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.