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embeddings-and-vector-databases

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sauravkumar8178 / 5-Day-Gen-AI-Intensive-Course-with-Google

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Exploring the world of Generative AI through Google’s 5-Day Intensive Course. Covering foundational LLMs, prompt engineering, embeddings, AI agents, domain-specific models, and MLOps. Sharing insights, code labs, and resources to unlock the potential of AI.

prompt-engineering foundations-of-generative-ai embeddings-and-vector-databases generative-ai-agents domain-specific-llms mlops-for-generative-ai advanced-applications-with-the-gemini-api
  • Updated May 3, 2025
  • Jupyter Notebook

saksham7685 / PDFMate.Ai

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PDFMate.AI is a Django-based app that lets you upload PDFs, indexes them into a vector database, and ask natural-language questions to get grounded answers with evidence. It uses PyMuPDF for PDF parsing, Transformers + PyTorch for embeddings, and Pinecone for fast semantic search. Clean templates provide Q&A views with cited contexts.

python nlp django backend webapp pinecone rag ai-ml embeddings-and-vector-databases pdf-question-answering
  • Updated Oct 10, 2025
  • Python

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