A GPT powered CLI chatbot to talk with your speeches 🤷🏾‍♂️

python-fastapi-vector-search

Intelligent chrome extension - Helpful automations through relevant HTML snippets

Register knowledge and files in a vector database, and generate information based on questions using the OpenAI API. This knowledge management and search support tool efficiently searches for relevant knowledge through vector search powered by Weaviate.

Real time support interface for customer and user queries via WhatsApp with built-in vector search for suggested resolutions from previously answered queries

Search the object inside image using gesture of finger

Web application to monitor digital activity of a user

GUI for my QMIND AI research teams project. This utilizes an efficient semantic vector search to find an optimal hint for codenames, as well as cosine similarity to create an agent that drastically outperforms humans.

Siam-Vector Search uses Siamese networks to improve vector similarity searches, making retrieval-augmented generation (RAG) systems more accurate.

An AI-powered research companion for uploading and interacting with papers, exploring public research, and engaging in conversations with documents.

Some experiments with Qdrant for Ukrainian search using embeddings

This project demonstrates a Retrieval-Augmented Generation (RAG) system for question answering. It integrates OpenAI’s GPT-4 model with FAISS for vector similarity search, enabling the system to provide accurate and contextually relevant answers based on a given document or dataset.

Advanced code assistant platform integrating multiple LLMs (Mistral, CodeLlama, LLaMA) with vector-based document indexing. Features production-grade code generation, reviews, documentation, and testing through a Streamlit interface. Leverages Hugging Face embeddings and LlamaIndex for context-aware code operations.

Natural Language Interface for your wardrobe and online clothing stores.

Web Application for Movie Reccomendations using FAISS

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This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.

Application to search for similar papers by title and abstract, keywords.

GraphQL api for the Amazon Reviews 2023 dataset