Iceberg Vector Database
Serverless Vector Database & 4-Tier AI Agent Memory Engine
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Sub-20ms serverless vector search, persistent agent memory, and hybrid RAG engine hosted natively in India.
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PH · launched Oct 23, 2026 · 1 upvote (top 67%)
- Horizontal
- Data infrastructure
- Developer
- AI-native
- Commercial product
- Developer Tools
- Artificial Intelligence
- Database
Similar launches
See all 920 similar launches →Could you build this?
Partial A basic serverless vector API and RAG layer can be vibe-coded on top of open-source engines like pgvector or Qdrant. Matching sub-20ms latency, high availability, and multi-tenant scale requires real database and ANN indexing engineering.
What it would actually take: Start from an existing vector index library (HNSW or IVF-PQ via FAISS, hnswlib, or Lance) and wrap it in a multi-tenant API with auth, metadata filtering, and an agent-memory layer. The hard parts are index performance and memory management at scale, plus replication, sharding, backups, and serverless autoscaling. Building it well takes distributed-systems and search-engineering expertise and real infrastructure in India to deliver the latency and data-residency claims.
Competitors
Other products that read as similar to this one : 920 launches clear the similarity bar, closest 8 shown.
Attention rank: #485 of 921 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 354 days after the earliest competitor.
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