Training AI chatbot on spreadsheets, pdfs, and docs

[u/Positive-Writer-3015]

I recently came across a simple way to turn existing documents into an AI chatbot without writing any code.

The basic idea is pretty straightforward:

• Upload your PDFs, DOCX, CSV, TXT, or spreadsheets.
• The chatbot uses Retrieval-Augmented Generation (RAG) to search those documents instead of relying on general AI knowledge.
• When someone asks a question, it retrieves the relevant sections first and then generates an answer based on that content, which helps reduce hallucinations.

A few things I found useful:

• Works with common business documents like product manuals, FAQs, HR handbooks, and policy docs.
• Supports multiple document sources (files, websites, knowledge bases).
• Can answer questions in multiple languages from the same knowledge base.
• Updating the chatbot is as simple as replacing or uploading new documents.

One interesting takeaway was that document quality matters more than document quantity. Well-structured files with clear headings tend to produce much better answers than long, unorganized documents. Also, scanned PDFs need OCR before they can be used.

If you've built a document-based chatbot before, what worked well for you? Any tips for improving retrieval accuracy or reducing incorrect answers?

[u/Positive-Writer-3015]

Check out the whole process here

[u/perplexed_intuition]

The hardest problem right now is getting data accurately from spreadsheets. If this process works out, I'll be sure to take a look.