Database · MVP Development
Pinecone development services
Managed vector database for AI applications.
01 · Overview
What we build with Pinecone
When embedding search needs to scale beyond pgvector, Pinecone gives us a fully managed, latency-optimized vector index for RAG and semantic search.
- OpenAI
- LangChain
- Python
02 · Why we ship Pinecone
The engineering rationale.
Managed — no ops overhead
Metadata filtering at query time
Serverless & pod-based tiers
Battle-tested for RAG at scale
03 · Where it fits
Use cases we've shipped in production.
RAG chatbots
Semantic search
Recommendation engines
04 · The rest of the stack
More Database technologies.
05 · Hire Pinecone developers
Hire vetted Pinecone engineers — without the agency markup.
Senior Pinecone developers, product-minded, timezone-aligned. Start in under 7 days with a signed SOW, a lead architect, and a first commit inside the first week.
- Senior-only engineers, 5+ yrs
- Onboarded in under 7 days
- NDA + IP transfer on day 1
- Lead architect on every project
Specialization
Pinecone engineering · production systems
Building with Pinecone?
Talk to a lead architect. 30-minute discovery call, fixed-price scope inside 48 hours, first commit inside a week.