SUMMARY AI summary by gpt-5-mini
IT Support RAG Assistant is a Retrieval-Augmented Generation tool that lets IT teams make internal documentation (policies, guides, runbooks) queryable in natural language. Intended users include IT support staff, new hires (onboarding), compliance teams, and knowledge managers. Built with Streamlit (UI) and Python, it extracts text from PDFs with pypdf, chunks content, creates embeddings via OpenAI's text-embedding-3-small, and stores them in a FAISS index for fast similarity search. Queries are embedded, relevant chunks are retrieved, and gpt-4o-mini generates answers grounded in the uploaded documents. Key features: PDF upload, semantic search, sub-second FAISS retrieval, context-aware responses, and a simple UI. Planned enhancements: multi-document support, persistent indexes, source citations, authentication, and additional file formats.
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IT Professional | Building AI tools with Python, OpenAI & Claude APIs | Career pivot to AI Engineering
Dates
| Created on GitHub | 2026-05-07 |
| Last push | 2026-05-11 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-12 16:14 |
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