Databases

An embedded database for AI agent memory that unifies relational storage, graph traversal and vector similarity search under one set of transactions, replacing a typical stack of SQLite plus a separate vector store.

• Agent memory
• Databases

A WordPress plugin that adds native vector database functionality to a WordPress site for semantic search and AI-powered content recommendations.

• Backend
• Databases

An unofficial, open-source desktop GUI client for the Turbopuffer vector and full-text search engine, for managing connections, namespaces, documents and schemas.

• Databases

The official Rust client for the Pinecone vector database, covering index creation, including serverless indexes, and configuration through either explicit options or environment variables.

• Databases

A filesystem-native vector database built around plain Markdown files, offering hybrid semantic and lexical search with no server or container, aimed at AI agent memory and knowledge bases.

• Agent memory
• Databases

A C++ client library for interacting with the ChromaDB vector database, covering collection management, embedding management and similarity queries.

• Databases

The official Pinecone extension for Gemini CLI, adding Agent Skills and MCP tools for managing vector indexes, running semantic search and building document question-answering assistants from the terminal.

• MCP servers
• Databases

A Spring Data module for the Reindexer database, adding repositories, object mapping, type-safe query derivation, transactions and namespace references for Spring and Spring Boot applications.

• Databases

A compression library for embedding indexes and LLM KV caches that optimizes for the metric a downstream consumer actually uses, such as retrieval recall or generation quality, instead of reconstruction error alone.

• Inference
• Databases

An integration that lets the txtai semantic search library use Qdrant as its vector storage backend, including cluster deployments for datasets too large for one machine.

• Databases

An agent-native database that stores memory, state, events, artifacts and relations as first-class objects, returning structured evidence instead of plain top-k text matches.

• Agent memory
• Databases

A serverless hybrid vector database Python client that fuses Amazon DynamoDB metadata storage with Amazon S3 Vectors approximate-nearest-neighbor search, running entirely inside a user's own AWS account.

• Databases

Experimental Rust codecs for vector quantization, including PolarQuant, TurboQuant and QJL, producing derived compressed representations for semantic-search candidate generation and KV-cache compression experiments.

• Inference
• Databases

A high-performance, in-memory vector database and search engine in Rust for semantic search and document indexing, exposed over binary RPC, REST, gRPC, GraphQL and MCP with native SDKs in five languages.

• RAG
• Databases

A collection of production-ready Python examples for the CUBRID database, with five-minute quickstarts for FastAPI and SQLAlchemy, a Java-to-Python migration guide, copy-and-customize service templates, and benchmark-backed performance patterns.

• Databases
• Tutorials

An open, MIT-licensed database of confirmed-malicious IP addresses and disposable email domains, rebuilt every 30 minutes from honeypot sensors and community reports, for use in firewalls, WAFs and signup checks.

• Security
• Databases

A curated list of vector database engines, managed and serverless offerings, SDKs, benchmarking and evaluation tools, and research papers for building AI applications.

• Databases
• Curated lists

An embedded Go database that stores records at hex grid coordinates, retrieving context by expanding outward in rings while tracking provenance, confidence, contradictions and optional HNSW vector embeddings per record.

• Databases

An embedded graph database with built-in vector search that runs inside a host process with no server, combining temporal graph edges, GQL queries and HNSW vector similarity in one Rust engine.

• Databases

A Next.js app for testing MongoDB Atlas hybrid search, combining full-text and vector search queries through a unified $search stage with adjustable rank-fusion parameters.

• Databases
• Tutorials

A modular Rust library for building durable AI agent memory systems, combining B-Tree, BM25 full-text and HNSW vector indexes in one embedded, schema-aware document database.

• Agent memory
• Databases

AsterVec is an embeddable, disk-based vector search engine for on-device AI agent memory and local RAG, keeping only a small navigation structure in RAM so it can search millions of embeddings within a few hundred megabytes of memory.

• Agent memory
• Databases

A multi-index, multi-vector, document-based vector database and search engine with a JSON RESTful API, combining vector, keyword, geo and filter search in a single query.

• Databases

An in-memory vector database written in Go, using arena-based memory allocation to avoid garbage-collection overhead and HNSW indexing for fast approximate nearest-neighbor search, with an optional distributed consensus mode.

• Databases