RAG & Knowledge Retrieval

Retrieval-Augmented Generation systems that let your team ask questions and get accurate, cited answers from your own documents. Document ingestion, semantic search, vector databases, role-based access, and an admin panel. all production-ready.

Typical delivery: 3–6 weeks. Fixed price, locked in before work starts.

9.3 hours/week

spent by knowledge workers searching for information. RAG puts answers at their fingertips. with sources they can trust.

— McKinsey
Capabilities

Your knowledge, instantly accessible

Document Ingestion

Automated pipelines that ingest PDFs, Word docs, web pages, emails, Slack messages, and more. chunked and embedded for optimal retrieval.

Semantic Search

Natural language search across your entire knowledge base. Ask questions in plain English and get precise, relevant results: not keyword matches.

Vector Database Integration

Pinecone, Weaviate, pgvector, or Qdrant: we choose and configure the right vector store for your scale, latency, and cost requirements.

Source Citations

Every answer includes citations back to the original document, page, and paragraph. so users can verify and trust the output.

Role-Based Access Control

Users only see answers from documents they're authorised to access. Permissions sync with your existing identity provider.

Admin Panel

A management interface for uploading documents, monitoring usage, reviewing queries, and managing the knowledge base. no engineering required.

How It Works
01

Map your knowledge

We identify your document sources, access patterns, and the questions your team needs answered.

02

Ingest & index

We build ingestion pipelines that chunk, embed, and index your documents: optimised for retrieval accuracy.

03

Build the interface

A clean search and chat interface with source citations, role-based access, and an admin panel for managing content.

04

Deploy & iterate

Production deployment with monitoring, feedback collection, and continuous improvement of retrieval quality.

Next Step

Need a knowledge retrieval system?

Request an audit review. we'll show you how RAG can unlock the knowledge trapped in your documents.

Or email [email protected]