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Machine Learning/Web Development - Gemini ChatBot #4
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Hey, I would be glad to work on this issue. My plan is to integrate this chatbot using Gemini API as you said, along with Qdrant or Mongodb for vector database . Can we connect on discord to discuss this a little before I start working on it ? |
@amannaik247 yeah for sure! We can definitely discuss. I am glad you brought up mongodb as our database too, as we are trying to establish a DB in #3 |
@Namit2111 do you mind working with him on this on what your ideas were in executing this concerning the RAG portion? |
Hey @amannaik247 We want only API for this right, we will be making a seprate page for this in future after the issue #2 is closed. So, for now only an api in flask is required. Can you guide me through the steps you will be taking along with tech stack |
So I will be using Gemini Embeddings to embedd the bible's data and store it in a vector store, preferrably mongodb atlas, but for the chatbot response I recommend using Groq's llama model which work great and is free to use. I am not much used to flask api so might need your help with that. |
Hey can I also work on this? |
@Sony-MetaShot this issue is actually under development currently. We want to find the best database to integrate |
@Namit2111 what would you like me to do with this issue? |
@JustinhSE you can close this one too , as basic implementation is done , now just need to convert in an api ,I opened another issue for that |
Overview 🏗️
We are looking to add a Gemini chatbot to our platform, either as a popup or on its own page separate from the main one. The chatbot will be powered by Gemini AI and we want to ensure that it only sources information from biblical sources. To achieve this, we plan to integrate RAG (Retrieval Augmented Generation) into the chatbot. The chatbot should be designed to ignore questions that do not relate to the Bible.
Task 🔧
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