Practice area 01 · AI & RAG knowledge systems
Turn your docs, FAQs, and knowledge base into a 24/7 AI assistant.
I design and deploy production-grade Retrieval-Augmented Generation systems that let your team — or your customers — query any document, policy, or knowledge base in plain English. Built with automated ingestion pipelines that re-index content on update, semantic vector search for accurate retrieval, and OpenAI-powered conversational interfaces that stay in context.
- Engagement model
- Fixed scope, fixed price
- Progress
- Weekly demo + written update
- Support
- 30 days included
Support queries automated
Bot accuracy on first response
Ticket volume reduction (month 1)
Results from delivered engagements in this practice area.
01 — How it works
From your current process to a system that runs itself.
Ingest & Embed
Your documents — PDFs, Notion pages, CSVs, website content — are ingested, chunked, and embedded into a vector database. The pipeline re-runs automatically whenever content changes.
Retrieve & Rank
When a user asks a question, semantic search retrieves the most relevant chunks from the vector DB. Context is assembled and ranked before being passed to the LLM.
Generate & Deliver
OpenAI synthesises a grounded, accurate answer from retrieved context. Unknown queries are escalated or flagged — the bot never hallucinates outside of your data.
02 — Scope of work
What the engagement delivers.
- ADocument ingestion pipeline with automatic re-indexing on update
- BVector database setup (pgvector or Pinecone) with chunking strategy
- CSemantic similarity search tuned for your content type
- DConversational query interface with memory and context window
- EWebhook or API endpoint for embedding into any product
- FAnalytics layer to track query accuracy and escalation rate
03 — Related projects
Delivered and running in production.
All projects
AI agentsInternal RAG Assistant
Staff query company documentation in plain language — 60% fewer queries.
AI agentsCustomer Support RAG Bot
Trained on thousands of Q&A records — 70% fewer tickets in month one.
AI agentsAI Voice & Chat Support Agent
Chat and phone agent handling 500+ queries a day with payments built in.