Personal RAG Chatbot
Project
Personal Project - Full-Stack Developer
Personal RAG Chatbot Case Study
The Personal RAG Chatbot is a retrieval-augmented generation system that turns personal notes, documents, and reference material into a searchable conversational knowledge base. The goal was to make private information easier to query without relying on brittle keyword search or manually digging through files.
Problem
Personal knowledge is often spread across Markdown notes, PDFs, and text files. Traditional search can miss useful context because it depends on exact wording, while a general chatbot cannot answer reliably without access to the source material. This project solves that gap by combining semantic retrieval with a grounded generation step.
Role
As the Full-Stack Developer, I designed the ingestion workflow, backend API, retrieval pipeline, containerized setup, and automated refresh process. I owned the project end to end, from document chunking through to the user-facing chat experience.
Architecture
- Ingestion: Notes and documents are parsed, cleaned, chunked, embedded, and stored for semantic search.
- Retrieval: User questions are embedded and matched against the most relevant document chunks in a vector database.
- Generation: Retrieved context is passed to the language model so responses stay grounded in the source material.
- Automation: GitHub Actions refreshes the knowledge base when the underlying notes change.
Stack
Python, FastAPI, OpenAI embeddings, vector search, Docker, GitHub Actions, and a retrieval-augmented generation workflow.
Media
The project page includes an embedded Vimeo demo showing the chatbot workflow and how the RAG system responds to natural-language questions.
Outcome / Impact
The result is a practical AI knowledge assistant that demonstrates backend engineering, RAG architecture, automation, and source-grounded response design. It is positioned as a reusable pattern for private knowledge search rather than a generic chatbot.
Tags: artificial intelligence, ai, rag, embeddings, vector database, openai, software, programming, developer, engineer, nlp, python, fastapi, chatbot, vector-db, project
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