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Asar AI CV Assistant

A minimal, AI chatbot that answers questions about my professional background using only your CV as the source of truth.

This is a personal AI brand assistant, not a generic chatbot.


What this is

A CV-aware AI assistant powered by RAG (Retrieval-Augmented Generation)

Answers questions strictly based on a local CV file

Designed to be calm, factual, and minimal

No browsing, no guessing, no hallucination

If a fact is not present in the CV, the assistant explicitly says so.


What this does

Answers questions about background, experience, and projects

Uses embeddings + vector search over a CV text file

Enforces strict factual grounding

Maintains short conversational memory (last ~10 messages)

Responds in a first-person, professional tone


What this does not do

No web browsing

No external data sources

No analytics or tracking

No user data storage

No conversation logging

Everything runs locally except model inference.


This project is meant to be reusable. To use it with your own information: Replace the contents of my_cv.txt with your own CV or background text Delete the my_cv_database/ folder (this clears old embeddings) Restart the app — embeddings will be rebuilt automatically No other code changes are required.


Tech stack

Python 3.12+

LangChain

Google Gemini (chat + embeddings)

ChromaDB (local vector store)

Streamlit (UI)


Project structure

. ├── app.py # Streamlit UI ├── cv_bot.py # Core AI logic (RAG pipeline) ├── my_cv.txt # CV content (replace with your own) ├── policy_block.txt # System behavior & grounding rules ├── my_cv_database/ # Local Chroma vector store (auto-generated) ├── .env # Environment variables (API keys) ├── requirements.txt └── README.md


Local setup (terminal)

  1. Create a virtual environment (recommended)

python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate

  1. Install dependencies

pip install -r requirements.txt

  1. Create a .env file

to your .env file: GOOGLE_API_KEY=your_google_api_key

  1. Run the CLI version

python cv_bot.py


Run with Streamlit (UI)

streamlit run app.py

Then open the browser link shown in the terminal.


Replace CV content

To use this project with your own information:

  1. Replace my_cv.txt with your own CV content

  2. Delete the my_cv_database/ folder

  3. Restart the app (embeddings will regenerate automatically)


Design principles

Truth over fluency

Minimal UI

No hidden data

No guessing

No lock-in


Notes

my_cv_database/ is generated automatically

Do not commit .env to GitHub

This project is intentionally simple and auditable


About

just a demo project to create a live AI bot for my CV

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