embedings

The platform for developers building applications powered by LLMs

Designed to implement retrieval-augmented generation systems. It uses datasets from Hugging Face, vectorizes them, and allows fast queries based on cosine similarity.

Diacritics are short vowels with a constant length that are spoken. The same word in the Arabic language can have different meanings and different pronunciations based on how it is diacritized. In this project, we implement a pipeline to predict the diacritic of each character in an Arabic text using Natural Language Processing techniques.

A CPU-friendly Retrieval-Augmented Generation application for asking questions from PDF documents using semantic search and a local LLM.

Hands-on Jupyter notebooks exploring ANN architectures for continuous data prediction (housing prices) and binary sentiment classification (IMDB reviews) with and without vector embeddings.

Evolve your chatbot's memory from goldfish 🐠 to elephant 🐘! This project demonstrates how to build increasingly sophisticated chatbots with different memory capabilities

AI agent that learns your writing style from samples and generates content that sounds exactly like you — built with Agno, Voyage AI, Pinecone & Groq.

Production-ready RAG chatbot for real estate — semantic property search via natural language, powered by Qdrant, LangChain, Groq & Chainlit.

Go client for LM Studio — chat, stream, and embed with local AI models. Works with any OpenAI-compatible endpoint.

Your Call Center Superpower

SaaS-style RAG knowledge-base platform for business documents using FastAPI, text extraction, chunking, local embeddings, and vector search.

LinkedIn-style People You May Know system using graph-based candidate generation and multi-stage ML & DL ranking for real-time connection recommendations.

This repository covers a range of NLP tasks using classical and modern techniques. The experiments leverage frameworks such as Python, TensorFlow, PyTorch, HuggingFace Transformers, and NLP libraries like spaCy and NLTK.

Production RAG architecture for epi methodology Q&A: Pinecone retrieval, LangChain orchestration, Streamlit frontend

Implementation of a Recurrent Neural Network (RNN) using TensorFlow/Keras for binary sentiment classification on the IMDB dataset, featuring word embeddings, sequence padding, and a Streamlit interface for real-time inference.

A basic Retrieval-Augmented Generation (RAG) implementation for testing purposes, built to enable conversational interactions with Starter Story YouTube video.

Clasificación de movimientos de dedos con arquitectura VQShape

AI-powered Resume Analyzer that evaluates resumes against job descriptions using LLMs (Groq) and semantic similarity (Gemini embeddings) to generate ATS scores, skill gaps, and personalized improvement suggestions.

Subsystem for vector embeddings. Enabling a better dense passage retrieval (DPR) for retrieval augmented generation (RAG) and hybrid search.