Service

    RAG Systems

    Retrieval-Augmented Generation systems for knowledge bases, support bots, and internal tools that actually know your business.

    Book a Call

    What You Get

    • Custom RAG pipeline built on your internal documents, databases, or APIs
    • Vector database setup and embedding strategy optimized for your content type
    • Secure deployment options (self-hosted or cloud, depending on your sensitivity needs)
    • Production monitoring and quality evaluation tooling

    Our Process

    .01

    Assess

    We map your data sources and access requirements.

    .02

    Architect

    We design the retrieval and generation pipeline.

    .03

    Build

    Ingestion, chunking, embeddings, retrieval, and generation layers.

    .04

    Evaluate

    Quality testing with real queries before production deployment.

    Tools We Use

    PineconeWeaviateSupabase pgvectorLangChainLlamaIndexOpenAIClaudeCohere embeddings

    Is This For You?

    Best fit for: Teams with significant internal knowledge (documentation, policies, past projects) that they want to make queryable.

    Not for: Companies looking for a plug-and-play chatbot — RAG requires thoughtful engineering and isn't a weekend project.

    Let's build this for you.

    Book a free call and we'll map out exactly how rag systems can move your numbers.

    Book a Call