Personal R&D · 2025

RAG-Based Knowledge Assistant

A retrieval-augmented assistant that answers questions over a private knowledge base with grounded, cited sources.

Client

Personal R&D

Role

Product / Project Lead

Timeline

Sep 2025 – Jan 2026

Domain

AI / Knowledge

Approach

Iterative / experimental

Team size

1–4

Budget

Personal

Objective

Build a RAG assistant that retrieves from a private knowledge base and answers questions with grounded, cited responses.

What I did

• ▸ Designed the ingestion, chunking, and embedding pipeline
• ▸ Implemented retrieval + prompt assembly with source citations
• ▸ Tuned chunking and retrieval for answer quality
• ▸ Built a chat UI with source previews
• ▸ Evaluated groundedness and relevance

Key deliverables

• ▸ Document ingestion pipeline
• ▸ Vector index & retrieval
• ▸ Cited answer generation
• ▸ Chat UI
• ▸ Evaluation results

Outcome

Delivered a working assistant that answered questions with grounded, source-cited responses over a private corpus.