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Introducing RAGs, a Streamlit app that allows you to create and customize your own RAG agent and then use it over your own data, all with natural language 🔥 Directly inspired by OpenAI GPTs, you can converse with an agent to help you do search/retrieval over any data you...

475,732 просмотров • 2 лет назад •via X (Twitter)

Комментарии: 11

Фото профиля Ian Maurer 🧬🤖🐍
Ian Maurer 🧬🤖🐍2 лет назад

@streamlit @OpenAI Like @simonw specified in a recent blog article I had trouble getting Gpts to read their uploaded knowledge. Can’t wait to try this.

Фото профиля Kent Langley
Kent Langley2 лет назад

Well, this is really cool! I was able to replicate one of my personal GPT's quickly and easily after a little fussiness on the install (my env. not really the install). Using a venv makes it go much better! In some areas this exceeded the native GPT implementation due to tuning parameters I think.

Фото профиля Just Kris
Just Kris2 лет назад

@streamlit @OpenAI @hive_echo

Фото профиля Pavel Kosyrev
Pavel Kosyrev2 лет назад

It’s an awesome tool May I suggest, there is something that I struggle with and I think a lot people would appreciate this If I could explain my use case and I could chat with an assistant to choose the best retrieval method, index, synthesiser etc. There are so many moving parts in llame index and sometimes it gets overwhelming, docs are good, the chat with docs is useless I would rather know how to dial the code than have it automatically set up a RAG For GPT type of thins with RAG there are many resources, drip you files and it does some magic But there are not many libraries like yours to build RAG manually

Фото профиля sujit kumar ojha
sujit kumar ojha2 лет назад

@streamlit @OpenAI @memdotai Mem it

Фото профиля Mem
Mem2 лет назад

@llama_index @streamlit @OpenAI Saved! Here's the compiled thread: 🪄 AI-generated summary: "RAGs is a Streamlit app that allows users to create and customize their own RAG agent and use it to search and retrieve data using natural language. It is inspired by OpenAI...

Фото профиля Dani Acosta
Dani Acosta2 лет назад

@streamlit @OpenAI You are rockstars! Well done

Фото профиля The Content
The Content2 лет назад

@streamlit @OpenAI @memdotai mem it

Фото профиля Mem
Mem2 лет назад

@llama_index @streamlit @OpenAI Saved! Here's the compiled thread: 🪄 AI-generated summary: "RAGs is a Streamlit app that allows users to create and customize their own RAG agent and use it to search and retrieve data using natural language. It is inspired by OpenAI...

Фото профиля Bryce Amacker
Bryce Amacker2 лет назад

@streamlit @OpenAI @memdotai mem it

Фото профиля Mem
Mem2 лет назад

@llama_index @streamlit @OpenAI Saved! Here's the compiled thread: 🪄 AI-generated summary: "RAGs is a Streamlit app that allows users to create and customize their own RAG agent and use it to search and retrieve data using natural language. It is inspired by OpenAI...

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