Infrastructure●●Solid
Rust Database from Scratch
Unified SQL, graph, and vector engine when Neon and pgvector already split these concerns.
Bold BetBig Brain
ayoubnabil
8524d ago
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GitHub Repository
A rust native, standalone and self-managed vector database uses HNSW data structure for fast queries and search.
10 starsRust
My attempt to make Vector search engine in Rust(350k Items, ~3.5ms Qs)
by ronakgh97·Feb 17, 2026·4 points·0 comments
AI Analysis
●●SolidWizardryNiche GemBig Brain
Self-managed vector DB in Rust with <5ms queries; Pinecone/Weaviate already own this space.
Strengths
- •Solid systems engineering: LSM Trees, HNSW graphs, SIMD optimizations, memory-mapped I/O with LRU caching (86x speedup)
- •Real benchmarks on substantial datasets (350K vectors, <1ms War & Peace, <5ms Amazon 1.4M products)
- •Crash-safe writes, concurrent access, backup/restore—production-grade reliability thinking
Weaknesses
- •Pinecone, Weaviate, Qdrant, Milvus already dominate; no clear differentiation or moat vs. competitors
- •Early-stage (caveat-laden backup, limited docs, SaaS layer 'in development'); unclear if this solves a pain Postgres pgvector users have
Category
Target Audience
Backend engineers, ML/AI researchers, developers needing self-managed vector search without vendor lock-in
Similar To
Qdrant · Weaviate · Pinecone
Post Description
I’d really appreciate technical feedback, critiques, or contributors interested
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