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: [ Ссылка ]
Documentation: [ Ссылка ]
LlamaIndex PrivateGPT webinar: [ Ссылка ]

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☕ Buy me a Coffee: [ Ссылка ]
✌️Patreon: [ Ссылка ]

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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: [ Ссылка ]

⛓️ Langflow: [ Ссылка ]
⛓️ Flowise: [ Ссылка ]

GPTs: [ Ссылка ]
OpenGPTs: [ Ссылка ]
RAGs: [ Ссылка ]

🦜️🔗 LangChain playlist: [ Ссылка ]

🦙 LlamaIndex Playlist: [ Ссылка ]

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🤝 Connect with me:
📺 Youtube: [ Ссылка ]
👔 LinkedIn: [ Ссылка ]
🐦 Twitter: [ Ссылка ]
🔉Medium: [ Ссылка ]
💼 Consulting: [ Ссылка ]

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