I will build a rag chatbot for your documents

Have long documents your team keeps searching by hand? I will build a RAG (retrieval-augmented generation) chatbot that answers questions about your own documents and shows the source passages behind each answer, so you can check the results.

How it works: Your documents are split into chunks, converted into embeddings, and stored for fast search. When you ask a question, the system finds the most relevant passages and an LLM writes an answer using that context.

What you get:

- A working document Q&A chatbot in a Python notebook (Google Colab ready)

- Document loading and chunking for your files

- Answers with source passages shown

- Clean, simple, commented code

- Higher packages add a setup guide, testing on your documents and a screen-recorded walkthrough

What I need from you:

- Your documents (PDF or text) and 5 to 10 example questions you want answered

Tools: Python, LangChain, Groq LLMs, HuggingFace embeddings.

Please message me before ordering so we can confirm your documents and goals.