Hellow guys, Welcome to my website, and you are watching Python RAG Tutorial (with Local LLMs): AI For Your PDFs. and this vIdeo is uploaded by pixegami at 2024-04-17T08:00:02-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | Python RAG Tutorial (with Local LLMs): AI For Your PDFs |
| Video Uploader | Video From pixegami |
| Upload Date | This Video Uploaded At 17-04-2024 15:00:02 |
| Video Discription | Learn how to build a RAG (Retrieval Augmented Generation) app in Python that can let you query/chat with your PDFs using generative AI. This project contains some more advanced topics, like how to run RAG apps locally (with Ollama), how to update a vector DB with new items, how to use RAG with PDFs (or any other files), and how to test the quality of AI generated responses. 👉 Links 🔗 GitHub: https://github.com/pixegami/rag-tutorial-v2 🔗 Basic RAG Tutorial: https://youtu.be/tcqEUSNCn8I 🔗 PyTest Video: https://youtu.be/YbpKMIUjvK8 👉 Resources 🔗 Document loaders: https://python.langchain.com/docs/modules/data_connection/document_loaders 🔗 PDF Loader: https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf 🔗 Ollama: https://ollama.com 📚 Chapters 00:00 Introduction 01:06 RAG Recap 03:22 Loading PDF Data 05:08 Generate Embeddings 07:16 How To Store and Update Data 10:46 Updating Database 11:45 Running RAG Locally 15:12 Unit Testing AI Output 20:29 Wrapping Up |
| Category | Education |
| Tags | rag | retrieval augmented generation | generative ai | python rag | advanced rag tutorial | langchain rag | python rag project | advanced rag project | advanced rag | ai chatbot | document interaction | response testing | python programming | vector database | text embeddings | natural language processing | pdf document retrieval | python chat interface | rag techniques | rag project | rag local | local rag tutorial | local llms | rag ollama | langchain project | local ai project |
