AI Development & LLM Engineering
Fix Vector Database Performance — Without Re-launching Your Site
LLM apps that ground answers, control cost, and pass evals
Senior engineers · IST + EST overlapNDA on day 124-hour reply
The problem
What you're seeing
Pinecone, Weaviate, pgvector or Qdrant queries are slow, expensive, or returning low-quality matches at scale.
How we fix it
Our approach
We tune index parameters, fix the embedding model mismatch, add metadata pre-filtering, and either right-size the existing DB or migrate to a cheaper one with better recall.
What you get
Concrete deliverables, no fluff
Every engagement ends with measurable, documented outcomes — no black-box agency reports.
Evaluation harness with scored test cases
Implementation behind feature flags + rollback plan
Cost & latency dashboard wired to your observability
Hand-off doc covering prompts, models, and guardrails
Tooling we use
Industry-standard stack, no proprietary lock-in
OpenAIAnthropic ClaudeLangChainPineconepgvectorVercel AI SDK