openai

End-to-end deployment of Azure OpenAI applications using Redis Enterprise as a vector database.

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

Add different kinds of data: Youtube videos, PDFs, Internet links and ask questions based on the content provided using an intuitive UI.

This project implements RAG using OpenAI's embedding models and LangChain's Python library

AI-powered multimodal chat app with real-time responses, file support, token tracking, and dark mode. Built with Next.js. Open source under MIT.

multilingual RAG

This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.

Implements a framework to build Generative AI applications.

Universal memory layer for AI applications. Self-host in minutes. Open source.

Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB

10 legit ways to access major AI models (GPT, Claude, Llama, DeepSeek & more) for FREE — step-by-step guides, no subscription, no card.

An optimized FastAPI server for OpenAI's Whisper whisper-large-v3-turbo model using MLX optimization

Create informative READMEs effortlessly using AI-driven templates with the README Creator powered by Language Model (LLM). Simplify documentation and enhance project communication.

Flask API for generating text embeddings using OpenAI or sentence_transformers

Web Vector Storage (WVS) is a lightweight and efficient vector database that stores document vectors in the browser's IndexedDB. It supports perform semantic similarity searches on text documents using vector embeddings. Embedding is enabled through use of OpenAI, Ollama or HuggingFace Transformer embedding models.

The Solidity Smart-Contract Advisor is a cutting-edge tool designed to extend the capabilities of traditional language models in understanding and advising on Solidity smart contracts

PegasusX: The Future of Multimodal Embeddings 🦄 🦄

Fine-Tune Whisper for Italian ASR with transformers

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

Mood is an AI-driven journaling web app designed to help users track their sentiments and moods over time. It offers advanced sentiment analysis and question-based similarity searches, making journaling an insightful and engaging experience.