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It's on premise deployed ai that uses vector-db to store huge documents embeddings and assists in helping employees to answer there questions

ragassistantai.streamlit.app/

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Private RAG Assistant AI

AI that uses vector-db to search for your answers

1. Takes input in any format:

Text → Whatsapp Chats, Emails Chats
Image → Invoices
Video → Demo videos, Information video
Audio → Voice Notes

2. Converts them to vector embeddings using model

Example kaggle notebook

3. Stores in VectorDB

4. User Asks Question

5. Using Similarity Search Answer is returned

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It's on premise deployed ai that uses vector-db to store huge documents embeddings and assists in helping employees to answer there questions

ragassistantai.streamlit.app/

rag llm genai

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Python 100.0%