In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.
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Updated
Jun 18, 2024 - Python
In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.
This project involves the development of a scalable game recommendation system. The primary objective is to provide users with relevant game recommendations based on their queries.
This is an end to end LLM project based on Google Generative AI and Langchain. In this project I built a Q&A system based on a data from an e-learning company called codebasic
Chat with the content of PDFs using an informative LLM powered by RAG.
Advanced RAG pipeline using Re-Ranking after initial retrieval
Q&A System using BERT and Faiss Vector Database
This repository contains one of my cool project which I have created during my college's MINeD hack-a-thon.
Question-Answering program based on langchain and FAISS database, with RAG from dataset
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
Help Build Key Bridge with AI
Image Retrieval System by training SwinV2 Transformer model with triplet loss, leveraging Faiss‐ GPU for indexing‐based cosine similarity search for 8.5x fast image search and retrieval.
Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.
GPU constrained! No More. Microsoft released Phi3 specially designed for memory/compute constrained environments. The model support ONXX CPU runtime which offers amazing inference speed even on mobile cpu.
Talk2CSV is a Streamlit web application that allows users to interact with CSV data using natural language and generate SQL queries based on the provided data.
A modular and extensible framework for building question-answering systems using the LangChain library and FAISS vectorstore.
A Streamlit-based application that empowers equity research analysts to conduct in-depth research using news articles. It leverages the power of large language models (LLMs) like Google Gemini Pro to analyze vast amounts of news data and generate insightful answers to your queries.
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