The Best Way to Build a RAG System with Python - Verba from Weaviate - Quick Tutorial

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Welcome to our fast-track tutorial on Verba - The Golden RAGtriever! In this 7-minute guide, you'll learn how to deploy this open-source Retrieval-Augmented Generation (RAG) chatbot powered by Weaviate. Whether you prefer using pip, building from the source, or deploying with Docker, we've got you covered. Get ready to explore your datasets and gain insights with Verba's user-friendly interface, compatible with LLM providers like OpenAI, Cohere, and HuggingFace. Dive in now and start your journey with Verba, the ultimate tool for intuitive data interaction and analysis!
GitHub Repo for Verba: github.com/wea...
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3 окт 2024

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Комментарии : 12

@BIFTEC 9 месяцев назад

Would love to see more in-depth videos with Verba. Especially when installing from source and how to add e.g. a different retrieval method or something else from current research :)

@python-programming 9 месяцев назад

I really like the idea of a video on installing from source and I love the idea of covering the different retrieval, embedding, and generating methods! I'm working on my 2024 Streamlit playlist right now, but I'm going to try and add these into the mix!

@mjacfardk 10 месяцев назад

Yes doctor please do tutorials about RAG and LLM app development, thank you for your help and time 🙏

@python-programming 10 месяцев назад

Glad you enjoyed this video! =) Good to know there is interest in this area.

@cloverpod 10 месяцев назад

@l.e.nichols9382 8 месяцев назад

Did verba come with the UI? You skipped past explaining how where the chatbot skin came from.

@poppynicolette2492 9 месяцев назад

I would like to see more on Verba, particularly for scaling up to 100,000's of documents. Can the generated output from verba be used in another interface? Thank you.

@python-programming 9 месяцев назад

Thanks for letting me know! I will start preparing a series on Weaviate and Verba in the New Year