Is the consultation free?

Yes, our initial consultation is completely free with no obligation.

How long is the consultation?

The consultation typically lasts 30 minutes, but we can extend if needed.

What should I prepare?

Come with a brief overview of your project, goals, and any questions.

What happens after the call?

We send a summary and preliminary project roadmap within 48 hours.

Custom AIBuildOne-time3–8 weeks

RAG System on Internal Knowledge

Your private KB answering with citations, no ChatGPT hallucinations.

RAG (Retrieval-Augmented Generation) that indexes the client's documents, manuals, SOPs, contracts and tickets into a vector store and connects them to an LLM to answer questions with real data and mandatory citations. Delivered: ingest pipeline, vector DB, retrieval layer, prompt engineering, eval harness, and a UI or API to consume it.

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Who it's for

Companies with hundreds or thousands of PDFs, manuals, SOPs and contracts
Support teams repeating the same answers all day
Professionals with technical corpus (legal, medical, engineering)
Compliance-sensitive companies that cannot send data to public ChatGPT
Organizations whose critical knowledge lives in a few people's heads

What's included

Ingest pipeline with connectors to Drive, Notion, S3, Confluence, GitHub, SharePoint
Document parsing: PDF (including OCR), DOCX, MD, HTML, CSV
Custom semantic chunking, no naive splits
Embedding pipeline (OpenAI, Voyage, Cohere or local)
Vector DB (Pinecone, Qdrant, pgvector or Weaviate)
Hybrid search (vector + BM25) with re-ranking
LLM orchestration with mandatory citations and guardrails
Eval harness with a golden dataset of 30 to 100 Q&A pairs
REST or GraphQL API plus optional chat UI
Observability setup with LangSmith or Langfuse
Documentation and operating runbook
On-prem or air-gap options for compliance

Metrics that move

What you should expect to track and improve.

Average support response time (FRT)

Tickets per agent per day

Self-service rate (resolved without human)

New-hire onboarding time

% questions answered correctly vs baseline

Cost per ticket and CSAT

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Your company has years of knowledge trapped in PDFs, Drive, Notion, manuals. Nobody finds anything and ChatGPT cannot help because it does not know your data. We build a RAG system where your documents live in a vector store and an assistant answers questions with citations to the source. Private data, accurate answers, compliance respected. Your team stops searching and starts acting.