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Internal Knowledge Assistant

RAG-based assistant that answers employee questions from internal company documents (HR, Finance, IT, Legal, Sales, Deliveries, Customer Support, product catalog).

Stack

LangChain + OpenAI (gpt-4o-mini, text-embedding-3-small) + Chroma vector store.

Setup

python -m venv venv
venv\Scripts\pip install -r requirements.txt
copy .env.example .env   # add your OPENAI_API_KEY

Usage

venv\Scripts\python -m src.ingest.build_index   # build the index (run once, or after doc changes)
venv\Scripts\python -m src.assistant.cli        # chat with the assistant

Notes

  • documents/ isn't tracked in git — add your own PDFs before ingesting.
  • Answers are grounded only in retrieved document context; the assistant says so when it can't find an answer.

About

RAG assistant that answers employee questions from internal company documents (HR, Finance, IT, Legal, Sales) using LangChain, OpenAI embeddings, and a Chroma vector store — grounded answers only, no hallucinated fallback.

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