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Data Pipelines & RAG Systems

We turn scattered documents and data into a searchable knowledge layer, so answers and reports come from your own sources: current, cited and fast.

What we build

  1. Ingestion pipelines

    Documents, PDFs, emails, databases and APIs collected, cleaned and kept in sync automatically.

  2. Retrieval-augmented generation

    Chunking, embeddings and hybrid search tuned to your content, with answers that cite their sources.

  3. Knowledge assistants

    Chat and search interfaces for teams and customers, grounded in your approved material.

  4. Real-time insights

    Dashboards and reports that update as new data arrives.

How we work

  1. Inventory sources

    We list where the knowledge lives, who owns it and how often it changes.

  2. Build the pipeline

    Connectors, parsing and indexing, with access rights carried through.

  3. Tune retrieval

    We test with real questions and measure answer quality and citations.

  4. Ship and monitor

    Interfaces go live, and freshness and quality are monitored.

What you can rely on

  • Grounded answers

    Responses cite the documents they come from, so they can be checked.

  • Access rights respected

    People only find what they are allowed to see.

  • Always current

    Pipelines keep the index in sync with your sources.

Typical stack

  • Postgres & pgvector
  • Hybrid search
  • Document parsing & OCR
  • Embedding models
  • Scheduled & event syncs
  • BI dashboards

Let’s build yours.

Tell us which task you want to hand over. We’ll come back with a first concept and an honest estimate.

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