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    AI Integration & RAG

    We connect LLMs to your data and ship retrieval pipelines that answer correctly in production — not just in demos.

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    RAG pipelinesLLM integrationEvaluationProduction

    What we deliver

    01/

    Data ingestion & indexing

    Connectors, chunking, and embedding pipelines for your docs, tickets, and databases — kept fresh automatically.

    02/

    Retrieval that answers correctly

    Hybrid vector + keyword search with reranking, tuned on your real queries.

    03/

    Evaluation harness

    Automated answer-quality regression tests run before every release, so accuracy never silently degrades.

    04/

    Guardrails & observability

    Tracing, cost tracking, and fallback behavior for every LLM call in production.

    How we work

    01/
    Discovery call

    We dig into what you're building, your stack, and whether we're the right fit. 30 minutes, free.

    02/
    Scoped proposal

    A written scope with architecture, milestones, timeline, and a fixed price. 2–3 days.

    03/
    Build in weekly sprints

    A live demo every Friday. You see working software from week one.

    04/
    Handoff & support

    Documented handoff to your team, or ongoing iteration on a retainer.

    Stack & tools
    Anthropic · OpenAI · LangGraph · pgvector · Pinecone · FastAPI

    Other services

    Agent OrchestrationWorkflow AutomationFull-Stack Product DevelopmentMVP in 6 WeeksTechnical AuditsUI/UX Design

    Need this shipped?

    The first call is a free 30-minute technical scoping session.

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