Databases

A collection of developer samples showing how to use the KDB.AI vector database, from getting-started guides to industry-specific retrieval-augmented generation use cases.

• Databases
• Tutorials

An Android app and reference project that performs on-device face recognition by comparing FaceNet embeddings against a local vector database of known faces.

• Mobile
• Databases

The official MCP server for StarRocks, letting an AI assistant run SQL, explore schemas, and chart query results against a StarRocks database.

• MCP servers
• Databases

A MySQL-compatible database that adds vector search, ML model training, local LLM inference and RAG pipelines as native SQL calls, collapsing a typical AI data stack into one engine.

• RAG
• Databases

A Model Context Protocol server for MariaDB that lets AI assistants list databases and tables, read schemas, run read-only SQL queries, and create and query vector embedding stores.

• MCP servers
• Databases

A Go client library for the Chroma vector database, tracking specific Chroma server versions across its release lines.

• Databases

A fast, lightweight vector database with a Python API, offering an in-memory HNSW-based index for low-latency search and an on-disk quantized graph index for billion-scale datasets that exceed RAM.

• Databases

A Python tool that runs, mocks, and tests fake Snowflake databases locally, either by patching the Snowflake connector in-process or by running a standalone HTTP server for any language.

• Testing
• Databases

A structure-aware document and code retrieval library that searches by keyword over a document's tree structure using SQLite full-text search, without embeddings or chunking.

• Databases

A cross-platform SQL Server execution plan analyzer with a desktop GUI, a CLI, and a built-in MCP server, that parses .sqlplan files, flags performance problems, and suggests missing indexes.

• Debugging
• Databases

An MCP server that exposes Milvus vector database functionality to LLM applications and AI coding tools such as Claude Desktop and Cursor.

• MCP servers
• Databases

A shell script that spins up Elasticsearch and Kibana locally in Docker or Podman containers for trying them out, not for production use.

• Databases

A lightweight JavaScript vector database that stores document embeddings in the browser's IndexedDB and performs semantic similarity search over them using OpenAI embeddings and cosine similarity.

• Libraries
• Databases

An Odoo module that automates database backups to local storage or a remote FTP server, with versions maintained for each supported Odoo release.

• Databases

An open-source desktop client for connecting to and exploring vector databases, running vector and hybrid searches, and visualizing embeddings in 2D or 3D.

• Databases

A suite of NuGet packages for F# that generates types from a database schema and provides strongly typed, compile-time-checked query expressions for SQL Server, PostgreSQL, SQLite, Oracle, or MySQL.

• Databases

A personal, mostly Chinese-language PostgreSQL knowledge base by a PostgreSQL DBA, collecting articles and write-ups on internals, DBA practice, performance tuning, and production troubleshooting.

• Databases
• Curated lists

A C++17 library with Python bindings implementing the RaBitQ vector-quantization algorithm for approximate nearest-neighbor search, combined with IVF, HNSW and SymphonyQG index structures.

• Libraries
• Databases

A library that defines one universal file format for vector datasets, so data can be exported from one vector database, re-embedded with a different model, and imported into another, without writing custom conversion code for each pair.

• RAG
• Databases

The official TypeScript and Node.js client for the Pinecone vector database, supporting full-text search, vector operations, index management, and integrated embedding and reranking.

• Databases

A Redis-compatible database engine that also provides typed relational tables, native vector search, time series, realtime subscriptions, streams, and optional application authentication in one runtime.

• Databases

A Model Context Protocol server that lets an AI assistant discover a MongoDB database's collections, infer their schemas, and run queries, aggregations and writes through a standard interface.

• MCP servers
• Databases

Neo4j's official MCP server, giving an AI assistant such as Claude, Cursor or VS Code direct, structured access to explore a Neo4j graph's schema and run Cypher queries against it.

• MCP servers
• Databases

A deprecated community MCP server for Snowflake, providing Cortex AI search, analyst and agent tools, object management, SQL execution and semantic view querying; its own README tells users to migrate to Snowflake's official MCP server.

• MCP servers
• Databases