IT· VAROCHIK
    עברית/Contact
    RAG Systems

    Your knowledge, queryable. Without the hallucinations.

    Production RAG built around your documents, tickets, and codebase. Retrieval, re-ranking, evals and guardrails — instrumented from day one.

    Timeline
    5 weeks
    Investment
    From $14,000
    Best for
    Teams with substantial internal knowledge — docs, support history, codebases, policies — they want to query reliably.
    Book intro callEmail Itai directly

    Direct work with Itai Varochik. No agencies, no juniors.

    The problem

    A naïve RAG is a confident liar.

    • 01Top-k cosine is not retrieval. You need re-ranking and filters.
    • 02No evals means quality regresses every model swap.
    • 03Citations are missing or fabricated, so trust collapses.
    What you actually get
    • Ingestion pipeline with chunking strategy
    • Hybrid retrieval + re-ranking
    • Golden-set evals and regression suite
    • Cited answers with source links
    • Cost & latency dashboard
    What changes after
    • →Fewer support tickets, faster answers
    • →Quality you can measure, not vibe-check
    • →A foundation for agents and copilots
    Why operators pick this
    01
    Retrieval + re-rank pipeline
    02
    Golden-set evals on every change
    03
    Source-grounded citations by default
    Common questions
    Which vector DB?+

    Provider-agnostic. We pick based on scale, latency and cost — pgvector, Pinecone, Qdrant or Weaviate.

    Closed or open models?+

    Both. We benchmark on your data and pick what wins on quality, cost and latency.

    What about PII?+

    Redaction at ingestion and retrieval. Tenant isolation by default.

    Ready to start?

    20-minute intro call. If it isn't a fit, I'll tell you straight.

    Book intro call