diskann

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage 💥

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

Production-ready KV-backed HNSW implementation in Rust using LMDB

DiskRAG is a high-performance vector search system built on top of DiskANN.

Open-source community study guide for Microsoft DP-800: Developing AI-Enabled Database Solutions. Aligned to the March 2026 official blueprint. Covers SQL Server 2025, Azure SQL, Microsoft Fabric, vector search, RAG, MCP, and more.

🧬🔍 Vecgo is a pure Go, embeddable, hybrid vector database designed for high-performance production workloads. It combines commit-oriented durability with HNSW + DiskANN indexing for best-in-class performance.

Türkçe SQL Server 2025 başucu kitabı — kod örnekleri, errata, topluluk Q&A · CC BY-NC-SA 4.0 + MIT

A modular framework for evaluating disk-based vector search, enabling controlled ablations and end-to-end comparisons across diverse storage environments, concurrency regimes, and query distributions.

DiskANN in Pure Rust — Built for Large-Scale Approximate Nearest Neighbor Search.

A native Rust implementation of DiskANN (Disk-based Approximate Nearest Neighbor search) 🦀

Jigen DB is vector database written from scratch in c#

Pure Rust Port of DiskANN

Julia Implementation of Low Memory Disk ANN (LM-DiskANN)

DiskANN vs HNSW: a measured vector-index benchmark at 3.38M and 10K scale (recall/QPS/memory, concurrency, reproducible harness)

VIC-style tiered retrieval demo with native KIOXIA AiSAQ for low-DRAM, storage-aware semantic search.

SQL Server 2025 — yazılımcılar için iki dilli (TR+EN), bol örnekli, canlı doğrulanmış geliştirici e-book'u.

Security-first, memory-frugal vector database in Rust with a retro terminal cockpit.

Retrieval-focused database for local text, vector, and hybrid search — with a Python SDK, CLI, and retrieval SQL.

SQL Server 2025 native vector search + AI_GENERATE_EMBEDDINGS over StackOverflow, exposed to AI agents via Data API builder's built-in MCP server — no separate vector DB, embedding service, or API tier.