How to build a PDF QA chatbot using OpenAI and ChromaDB
Blog post from Confident AI
The article provides a step-by-step guide on building a chatbot that can engage in conversation with any PDF of the user's choice using the raw OpenAI API, Vector Databases (specifically ChromaDB), and OCR technology provided by Azure Cognitive Services. The chatbot uses a retrieval, augmented, generation (RAG) approach to generate responses based on information in the uploaded PDF. The article covers setting up the project, extracting text from PDFs using OCR, storing extracted content in ChromaDB, generating responses using OpenAI, and building a Streamlit-based UI for the chatbot. The tutorial concludes by highlighting the potential applications of this technology, including increasing productivity in workforces.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 8 | 2,722 | 279 | 102 | +43% |
| LLM | 6 | 3,669 | 412 | 154 | +40% |
| RAG | 6 | 1,867 | 232 | 78 | +54% |
| AI Guardrails | 2 | 172 | 71 | 28 | +54% |
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