Running LLM applications privately with open source models is what all of us want to be 100% secure that our data is not being shared and also to avoid cost. Let's achieve that with this video.
PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power of Large Language Models (LLMs), even in scenarios without an Internet connection. 100% private, no data leaves your execution environment at any point.
👉🏼 Links:
PrivateGPT github repo: https://github.com/imartinez/privateGPT
Documentation: https://docs.privategpt.dev/overview
LlamaIndex PrivateGPT webinar: • LlamaIndex Webinar: PrivateGPT - Prod...
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⏰ Timestamps
00:00 Introduction
01:36 More info about PrivateGPT
05:01 Setting Up things
11:02 Launch privateGPT
12:27 LLM Chat
13:05 RAG with privateGPT ( Query Docs)
14:32 VectorSearch (Search in the Docs)
15:20 Run privateGPT Offline
16:28 Conclusion
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🔗 🎥 Other videos you might find helpful:
🔥 Databricks playlist: • 30 Days Of DataBricks
⛓️ Langflow: • ⛓️ langflow | UI For 🦜️🔗 LangChain
⛓️ Flowise: • Flowise | UI For 🦜️🔗 LangChain
GPTs: • HoW TO Create YOUR OWN CHATGPT 🤖 No C...
OpenGPTs: • OpenGPTs FROM LangChain 🦜🔗 | FIRST LO...
RAGs: • LlamaIndex RAGs: Built ChatGPT (Strea...
🦜️🔗 LangChain playlist: • LangChain
🦙 LlamaIndex Playlist: • LlamaIndex
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