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Gemma 2 - RAG with LangChain and HuggingFace and Groq (text ,pdfs) 

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Gemma 2 - RAG with LangChain and HuggingFace and Groq (text ,pdfs)
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Building a very fast RAG app using Gemma 2 9B as the main LLM model, with speed optimized for Groq, Hugging Face embeddings, and LangChain, makes all of this super easy to do
Collab : colab.research.google.com/dri...
00:00 - What is Gemma 2
01:37 - Gemma 2 Quality and performance analysis
03:12 - Where to find Gemma 2
03:55 - What will we build
04:30 - Text Doc Rag (Splitting Text )
05:00 - Open source Embeddings
05:47 - Create the RAG
06:12 - Text Similarity vs llm Results
07:53 - PDF Rag
09:03 - PDF Rag Results Q&A
11:40 - Outro
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#gemma #groq #langchain #rag #llms #aiapps

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31 июл 2024

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Комментарии : 3   
@mihawk1096
@mihawk1096 21 день назад
Is there any alternate for Groq API, I also tried Llama 2 and 3 but locally it takes alot of time to run them. Do any suggestions ?
@Codewello
@Codewello 18 дней назад
If you don't have access to Groq, you can use the Gemini API's free tier plan. It has limited requests per minute, but it's suitable for personal use. Another option is Firework AI, another large language model provider, which also offers a free tier with limited usage. Running a model locally will likely be slow because your GPU might not be powerful enough.
@danicruz226
@danicruz226 18 дней назад
Run them on a cloud gpu
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