Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application

"Explore real-time RAG with Google Gemini and Langchain, demonstrating advanced multimodal applications and integration for dynamic AI-driven solutions."
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[@VIKRANTKUMAR-n4t]

sir i always recumend this playlist to my friend ... becouse the content has lot of potential🤗🤗

[@sunnysavita10]

thankyou for the appriciation

[@aishekaishek4656]

Is langchain or lammainex is used in industry a lot???

[@anubhavanayak6550]

print(vision _model.invoke([message]).content
In this line Attribute Error coming.
How to fix an error.

[@sunnysavita10]

dm me error on my linkedin

[@yashasviagrawal5685]

Hey, i was facing the same issue but made some changes, but ended up facing InternalServerError500. Did you face the same issue?

[@HarshithR-zp4bb]

Do we need to chunk the raw doc before feeding it to Generator LLM

[@sunnysavita10]

yes

[@ghazifkiri-f8l]

Hello mr Savita, actually, i'm building an assistant GEN AI. My work is to extract different types of data , summarize each type of data, embedd data and put them together in a single multi vector db(chroma db), than, after passing my query(which can be image, text, audio, table..) and retrieve the relevant data from db , pass it to llm and generate response.Can you help me in doing so.Thank you so much

[@sunnysavita10]

you can refer my code where i used unstructure library

[@PranithaUjjuru]

it is showing that google pro vision is deprecated . Now what is alternate i can use in place of google vision pro

[@khiouu15]

You can use gemini-1.5-flash

[@saya5664]

Can you upload the notebook for this video? as current notebook on your Github throws an error

[@sunnysavita10]

dm me error on my linkedin

[@BappiPatra-pc4rt]

in architecture-2 can we use pinecone DB instead or chroma?

[@sunnysavita10]

yes