AutoLLM: Ship RAG based LLM Apps and API in Seconds

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In this tutorial, I delve deep into the power of AutoLLM, the go-to tool for anyone looking to harness the efficiency of Retrieval Augmented Generation (RAG) for their applications. Why choose AutoLLM? It's all about Simplifying, Unifying, and Amplifying your LLM workflows.

🌟 Key Highlights:

Understand the comparative advantages of AutoLLM over LangChain, LlamaIndex, and LiteLLM.
Discover the convenience of having 100+ LLMs, unified API, and support for 20+ vector databases.
Master the art of 1-line RAG LLM Engine and 1-line FastAPI deployment.
Grasp the unique cost calculation feature for managing 100+ LLMs.
For everyone out there who's been wanting to build a RAG app faster, this tutorial is tailor-made for you!

If you found value in this video, don't forget to hit that 👍 LIKE button, 📝 COMMENT with your thoughts, and ⭐ SUBSCRIBE for more content like this.

#generativeai #ai #python
  1. AI Anytime
  2. autollm
  3. rag
  4. RAG app
  5. RAG
  6. auto llm
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Комментарии
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instead of using open ai, can we be using models from hf?

JojoPtn
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Your explanations are really good. Keep sharing LLM related videos.

soulfuljourney
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Wow this is another great video… you are updating us with the new developments.. thank you so much,

asithakoralage
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Thank you for this simple explanation video. Please make same with open source/huggingface LLM. If possible do this with image as input and text as output.

souravbarua
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your videos are fantastics, very thanks! please do more videos of autollm for learn alot! ^^

SonGoku-pcjl
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Can you please also show a AutoLlm example using huggingface model

nayakdonkey
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Fast api is the core feature, the others are all just normal things already present in llamaindex

sharannagarajan