AI Development & LLM Engineering
Fix RAG Pipeline Issues — 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
Your RAG chatbot misses obvious answers, retrieves wrong chunks, or cites stale documents.
How we fix it
Our approach
We rebuild the ingestion (chunking, embeddings, re-ranking), add retrieval evaluation, and fix the chunking strategy until the top-k carries the actual answer.
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