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Selected Work · AI / Retrieval

Knowledge assistant

A retrieval assistant over a founder's body of work — answering his community with citations.

Retrieval assistant chat interface
Client
A health founder
Sector
Health · community
Services
AI, RAG, full-stack
Role
Sole builder
Status
In production

Context

The founder had years of published health content and a growing community asking the same questions repeatedly. He didn't want a generic chatbot — he wanted an assistant grounded in his own material that answers with sources, so the community could trust it and staff weren't fielding the same questions over and over. The goal wasn't scale for its own sake; it was making sure the knowledge he'd already built actually reached the people asking for it, with enough transparency that they could follow the reasoning themselves.

Objectives

Grounding
Ground every answer in the founder's own corpus, not a generic model.
Transparency
Cite sources inline so answers are trustworthy and followable.
Leverage
Cut the staff time spent re-answering common questions.

Approach

Discovery. Mapped the questions the community asks most — the recurring ones that staff handled by hand — to understand what the assistant needed to be good at.

Corpus. Gathered and indexed the founder's published content: the body of work that should power every answer.

Retrieval. Built a hybrid search over that corpus, so the assistant finds the most relevant material before composing a response.

Answers. Composed responses that cite the sources they used, with evaluation to keep quality honest over time.

What it does

Grounded answers with citations

Every response draws from the founder's own content and shows its work — so the community gets answers they can verify, not a black box.

Smart suggested prompts

Surfaces common starting points so members know what to ask, lowering the barrier to getting useful answers on their first visit.

Live in the community's hands

Deployed and in active use — improving against real questions, not sitting in a demo environment.

Outcome

Members self-serve confident, sourced answers rather than waiting for staff to respond. The founder's team spends far less time on repeat questions, and the knowledge he'd already built finally has a surface that puts it to work. It runs in production and continues to earn use.

Role & stack

Sole builder: product, retrieval pipeline, and full-stack engineering, end to end. Built with a custom RAG pipeline, hybrid search over the founder's corpus, and streaming responses.