Implementing RAG with Chroma and Llama 2 | Generative AI Series

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Welcome to a new frontier in our Generative AI Series where we delve into the integration of Retrieval-Augmented Generation (RAG) with the power of Chroma and Llama 2. This session is crafted for innovators who are ready to enhance their AI-driven applications with advanced text generation capabilities.

In This Tutorial:
- Understanding RAG: Unpack the concept of Retrieval-Augmented Generation and its significance in the AI landscape.
- The Role of Hugging Face: Learn how Hugging Face serves as a pivotal platform for implementing RAG with Llama 2.
- Text Generation Inference: Dive into the practicalities of generating text with Llama 2 and how RAG can refine the outcomes.
- Word Embeddings and Chroma: Explore how word embeddings work and the role of Chroma in improving the precision of text generation.
- Leveraging Llama 2: A detailed guide on harnessing the power of Llama 2 in conjunction with RAG for state-of-the-art results.

#GenerativeAI #FoundationModels #LLMs #HuggingFace #TextGenInference #Llama2 #PromptEngineering #RAG #Chatbot #FreeAICourse #AIForBeginners

Janakiram MSV

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pretty useful, this is the first rag tutorial for me! I have been go through this lesson and successful get the result as taught!

ArtisanCloud

This is excellent viedo. One of thet best video on RAG !!

AyushMandloi

great organized way of telling story..Thank you

kchandan

well done, that was an outstanding tutorial

dwtwp

Thanks for the clear explanation. When i run the code i am getting Timeout Error for "chat_completion(system_prompt, user_prompt)" .
Could someone tell how to fix this?

jayashivadarshinis

how to add into collection if my data has columns somethig like prompt and cypher_query, do i need to go with similiar approach of combining them into single column and load it as lists?

sansreshta

What is the confusion at 14:23? What are meta data files? What are these phrases in a realtime scenario? You are doing good but please give examples that are actually possible in realtime scenarios

sagarvaiyata

Please also tech us about how this LLM are built using encoders and decoders. What is resposiblity of both

AyushMandloi

Can we add two different documents in collection ?

sachinworld_

How can I use Llama 2 in local with this code? I already have Llama 2 with Ollama but how can I use it inside this code instead of using Vultr stack?

MrAlket

Well, this has nothing to do with the original RAG idea propagated. Embeddings for Q and T are fed into the decoder of a generator (same have the equal latent space) after everything is retrained. Your system is just a technology stack.

lukask

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