Flask application for Diversified Investment Portfolio Builder based on User Defined Risk Factors
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Updated
Oct 22, 2024 - Jupyter Notebook
Flask application for Diversified Investment Portfolio Builder based on User Defined Risk Factors
Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.
ParmaQA.ai is an advanced QA system that combines a Retrieval-Augmented Generation (RAG) pipeline with LangChain, FAISS, and FastAPI to deliver accurate answers. It features an efficient backend for processing queries and a user-friendly frontend for seamless interaction.
This project leverages Vision Transformers (ViT) to build a scalable image retrieval system. Images are encoded into compact vectors and stored in MongoDB for efficient querying. Advanced indexing techniques like Product Quantization (PQ) and HNSW graph optimize retrieval for speed and memory. A Streamlit-based web app allows users to upload images
DocuChat-AI is an AI-powered document interaction assistant that transforms static PDFs into conversational partners. It leverages Retrieval-Augmented Generation (RAG), history-aware memory, and advanced NLP to enable natural language Q&A, contextual dialogue, and secure local document processing.
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