Retrieval-Augmented Generation.

📡 📣 📣 Next: Open Code Models Based on Gemma, Stay Tuned 🤔
Imagine a program that uses a cutting-edge AI tool called Llama to quickly summarize PDFs. No more wading through pages! But that's not all. Let's say you're reading a research paper and something sparks a question. This program can search a vast vector database and deliver the best possible answer, with an accuracy rate near 99%. Need a concise overview of a legal document for a meeting? Summarize it with Llama, then ask the program to pinpoint key terms or clauses you might have missed. Finally, picture a student studying for an exam. They can upload their textbook chapters, get summaries from Llama, and ask targeted questions to solidify their understanding. This AI-powered tool can revolutionize how we interact with information!

Thought Behind



How Geema has been Used #here




Go-To use-case



Working Proof into IDE



1. Generating Verctor Database from Document



2. Vector Database Completed



3. Vector Database Completed




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