Databases

A SQL-first data-access toolkit for TypeScript that keeps ordinary SQL visible in tagged template literals, binds interpolated values safely by default, supports readable conditional SQL directives, and lets a schema validate the returned rows.

• Libraries
• Databases

A SQL-style query language and toolchain for the Qdrant vector database, covering dense, sparse and hybrid search, filtering and multitenancy, with the same grammar running from a CLI, Python, Node.js, Rust, WebAssembly and an in-process edge engine.

• Databases

A self-hosted, Java-based knowledge base for small and mid-sized organizations, turning internal documents into a searchable, question-answerable and audit-exportable knowledge asset with hybrid retrieval and Docker deployment.

• RAG
• Databases

A durable, tenant- and dataset-isolated memory engine for autonomous AI agents, with a compatibility runtime that stores raw memories and an in-development release that adds source provenance, validation and combined SQL, vector and graph storage.

• Agent memory
• Databases

A single transactional engine that combines a graph database, a vector database and full-text search behind one OpenCypher-compatible query language, so graph traversal, vector similarity and text relevance run as one planned query.

• Databases

Dart and Flutter bindings for the Zvec in-process vector engine, letting mobile and desktop apps run on-device semantic search, retrieval-augmented generation and similarity queries with no separate server.

• Mobile
• Databases

A roughly 120KB, zero-dependency vector search and episodic memory library for AI agents, written in pure C99 with hand-tuned AVX2, ARM NEON and x64 assembly.

• Databases

A fully generated C# SDK for the Pinecone vector database API, covering similarity search, index management and inference.

• Databases

A pure-Go, drop-in Redis-protocol-compatible in-memory data store with native HNSW vector search, Redis Streams, cluster gossip, and embedded Lua and WebAssembly scripting runtimes.

• Databases

A high-performance C++ multi-model database combining graph, vector, relational and file storage under one query language with MVCC, aimed at applications that need native AI and LLM data integration.

• Databases

A Laravel package that provides a fluent, facade-based interface for managing collections and running vector similarity searches against a Qdrant database.

• Databases

A Chrome extension that connects to one or more Qdrant vector database clusters and shows cluster health, collection configuration, shard distribution and performance in real time.

• Databases
• Monitoring

A single-file, offline-first vector database for Rust that stores embeddings, source text and search indices in one verifiable, reproducible file with stable content-hash citations.

• Databases

A disk-backed vector database written in Rust that uses HNSW indexing and quantization for approximate nearest-neighbor search over embeddings.

• Databases

Node.js bindings for Zvec, an open-source, in-process vector database that embeds directly into applications for low-latency similarity search without a separate server.

• Databases

A durable task queue implemented as versioned SQL functions inside PostgreSQL, giving TypeScript, Python and Go workers the same queue, durable waits and dashboard over one SQL protocol without a separate broker.

• Backend
• Databases

An in-memory vector database with pluggable indexing algorithms, linear, KD-tree and LSH, metadata filtering, snapshot persistence, and a FastAPI REST API plus a native Python client.

• Databases

An Apache Flink connector for the Lance columnar data format that provides source and sink support, Flink SQL and Table API integration, KNN vector search, and index building for Lance vector datasets.

• Databases
• Data engineering

A lightweight TypeScript vector database library that stores text chunks with metadata and embeddings in SQLite using the sqlite-vec extension, with built-in Hugging Face Transformers embedding support for cosine similarity search.

• RAG
• Databases

A production-grade vector and graph database engine written in Rust, where a vector's identity and its graph node are the same object, so a single query can combine nearest-neighbor similarity search with explicit, typed graph traversal without syncing two separate databases.

• Databases

A fast, embedded semantic vector database written in C/C++ that stores vectors and text metadata as memory-mapped flat files, with HNSW approximate nearest-neighbor search, timestamp-range filtering, and adapters for LangChain, LlamaIndex and Claude Code via MCP.

• Agent memory
• Databases

A Postgres-backed vector memory layer for AI agents, using a local BERT model for embedding search with no LLM calls in the hot path, distributed as a plugin for the hermes-agent framework and as a standalone MCP server.

• Agent memory
• Databases

A self-hosted retrieval-augmented generation framework for teams that cannot send data to third-party APIs, with role-based access control, support for several LLM providers, and natural-language questions answered over uploaded tables via generated SQL.

• RAG
• Databases

An MCP server that gives AI assistants natural-language, read-only access to semantic 3D city models stored in a 3DCityDB v5 PostGIS database, dynamically resolving CityGML classes and properties so no manual prompt engineering is needed.

• MCP servers
• Databases