PostgreSQL Vector Search Implementation Partner, Bengaluru

Yes. We install and configure pgvector on your existing PostgreSQL instance, design the embedding schema, create optimized indices, and integrate with your application layer. The process typically takes 2-3 weeks for an initial implementation.

We design every pgvector implementation with a migration-ready abstraction layer. When you hit the scale ceiling, we handle the migration to Pinecone, Weaviate, or Qdrant, including data export, re-indexing, sync pipeline setup, and zero-downtime cutover.

A basic implementation (embedding storage, similarity search, single index) takes 2-3 weeks. A full-featured implementation with hybrid search, metadata filtering, performance tuning, and monitoring takes 4-6 weeks. Our full three-phase engagement including discovery, benchmarking, implementation, and handoff runs 8 weeks.

Yes. We run benchmarks on your actual data, not synthetic datasets, before finalizing the architecture. Real-world filter patterns and embedding distributions routinely diverge from standard ANN benchmark results by 40% or more. The benchmark phase takes one week and prevents months of painful in-production discoveries.

Everything. Code, infrastructure-as-code modules, monitoring dashboards, observability configuration, and documentation all live in your repository and your cloud account. We do not retain any deliverables. You also get a 30-day post-launch support window at no additional cost.