← Services

RAG & Knowledge Search

Secure retrieval over docs, PDFs, and knowledge bases with accurate, cited answers.

Cited answers retrieval with source links — not freestyle hallucinations

Private RAG over docs and PDFs: embeddings, vector search, and grounded responses for employees or customers.

Who this is for

Companies sitting on wikis, contracts, and SOPs that nobody can search — and that must not leave your VPC casually.

The problem clients bring us

Keyword search misses context. Dumping PDFs into a public chatbot leaks IP. Without citations, nobody trusts the answer enough to act.

How Xaironix approaches it

Chunk and embed your corpus, retrieve with hybrid search, generate only with citations. Access control mirrors your existing roles. Evaluate answer quality on a golden set before go-live.

Outcome you can expect

Teams find the right policy in seconds — with a link to prove it. Knowledge stays private and searchable as the corpus grows.

What we ship

Ingestion pipeline for docs, PDFs, and knowledge bases
Vector store + hybrid retrieval with ACL filters
Answer UI with citations and “open source” links
Re-index jobs on document update
Eval harness for regression on critical questions

Why teams trust Xaironix on this work

NDA covering the full knowledge corpus
Engineers who own retrieval quality, not just UI
Pipelines and indexes documented at handover
90-day post-launch retrieval tuning

Tech stack

RAG OpenAI LangChain PostgreSQL

Ready to scope this?

Talk to a senior engineer — NDA-ready, no account managers.

Start Your Project Or message us first

Proof of work

Related case studies

Start project All portfolio

30+ hrs

Operational hours saved every week

Automated Enterprise Portal — Queued Workflows

Laravel queues and a Vue ops workspace saved 30+ operational hours every week, with an audit trail on every job.

Read deep breakdown