End To End Document Q&A RAG App With Gemma And Groq API

Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.In this video we will create an end to end Document Q&A RAG App wwith Google Gemma And GRoq API
Code Github: github.com/krishnaik06/Google...
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[@ssen081]

Thanks for the informative video. And again reiterating my request- Please upload videos on LLM evaluation. It’s badly needed.

[@aneeshamanke5191]

Thankyou for all your efforts Sir,
Your videos did help us a lot!

[@harshgurawaliya-yu7li]

APPRECIATE YOUR HARDWORK BRO !!!

[@DAvgGamer98]

I really appreciate your efforts and excellent content. Thank you 😊

[@shalabhchaturvedi6290]

Love you Krish. Respect!

[@achrajpachauri3494]

Thank you sir!! In the end we are doing similarity search in which llm first take context of input and give some more result related to those input context.

[@Rahul_Singh_Rajput_04]

can we use any another approach

[@mohsenghafari7652]

thank you krish. please use model llama3 and show we how use it as llm for Q&A and RAG

[@globea2z]

very nice u r a instutution Thanks for good work

[@dordekodzic6279]

Thanks Krish for all the value you share with us! For the end-to-end projects, could you also include various alternatives of deploying the AI solutions to (Azure, Google Cloud, AWS...)?

[@macmohan9556]

This was really good Krish

[@ashishkumarbajpai]

Krish I really appreciate your videos. Can you please create a video on multimodal model creation.

[@SagnikSarkar96]

Great video!Really really helpful. Can you please modify this code to add a conversational feature so that we can ask follow-up questions?

[@satyajitmohanty5039]

Precise 💯

[@anshulesh]

Thank you Krish!! This is really helpful for my project.
Couple of questions :
1. My data is in Google drive or 0ne drive or other cloud storage. How I can load this document or create pipelines to load data from my google drive.
2. What make change in the code for get top 3 k=3 similarity search results.

[@shubhambhardwaj8894]

Thank you sir 😊

[@__john663]

How to use llama3 model in production, In local we have downloaded llama3 8b model. In live how to deploy the model. Please teach me bro❤

[@vivek7654321]

Thanks Krishna, for the amazing video, appreciate on your smart work. I have one doubt, did you miss to pass context in the prompt, saw you passed the question only, or is it optional? 29:13

[@jallaaswini9253]

Hello Krish, Can you make video on how to deal with structured format of data like excel using aws knowledge base and LLM models

[@ayushmishra5861]

Sir, how about adding a memory or follow-up feature in one of any RAG videos. That'd be really helpfull.

[@muhammedyaseenkm9292]

You can use pinecone, llm buff memmory

[@foysalmamun5106]

Thank you

[@SwaminathanSekar-ks9vb]

Great session indeed. But still curious to know one thing. you have created "venv" conda environment, in which you have created necessary libraries. But 12:10 timeframe, when you tried acessing cmd, it was showing different environment, (development). How could this possible?.

[@sarangakumarapeli4348]

Will Groq use the data that we are passing to LLMs for train models?

[@user-jt7gz6df8t]

hi ,the document provided by you is working but not my personal document and i need to add memory how can i add to it

[@user-sx3mm5ii5u]

what are your views about igpt

[@priyank1149]

Make a LLM Evaluation on this RAG using this groq model

[@RishiRajxtrim]

👍

[@devloper.hs14]

Can we load any pdf and get our output?

[@muhammedyaseenkm9292]

When i loading pdf, is it possible to load table, image, or is it get all the elements. I think It can only accept text element.

[@muhammedyaseenkm9292]

Krish i always seeking this question to get most accurate solution. Rather than getting a dummy code that available in model reference published

[@revanthbhuvanagiri9177]

I'm not sure, but in the case of tabular data we can use LlamaIndex instead of Langchain, LlamaIndex is good option for tabular type of data to build RAG.

[@SwaminathanSekar-ks9vb]

Krish Naik sir, I got APIConnectionError: connection error

[@alpha7s708]

Same

[@user-gl6wn5cp5i]

ImportError: cannot import name 'LangSmithParams' from 'langchain_core.language_models.chat_models'
I am getting. this error after running streamline
Hope you guys can help me with this

[@sanskruteaaa]

i had an error with the interpreter
make sure your interpreter is set as venv