embbedings

Make GNN easy to start with

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

Finite element analysis library for computational mechanics applications

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.

This project uses Spring AI and PGvector to demonstrate retrieval via semantic search with vector embeddings.

🗃️✨ Mebox is an open-source RAG multi model tool, designed to efficiently process, store, and retrieve file-based information using Supabase and open source embeddings.

This is a project that simplifies the use of Openai API's with the capability of easily implementing an unlimited amount of functions

m3e api

Sha'table is an intelligent Retrieval-Augmented Generation (RAG) bot designed to enable seamless interaction with documents and web content. It allows users to upload files or provide URLs and engage in meaningful conversations with the content.

Local PDF chatbot that allows users to interact with the contents of PDF documents using natural language. It leverages Retrieval-Augmented Generation (RAG) to combine document embeddings with open-source large language models (LLMs) served through Ollama.

GenderBiasGPT is a tool designed to detect gender bias in text inputs, specifically for non-English languages like Vietnamese and Hindi. This model assesses whether a sentence is biased toward a male or female perspective and provides a bias score ranging from 0 to 1.

AI RAG system with LlamaIndex, ChromaDB and Ollama for semantic search and contextual question answering over custom documents.

Using embeddings, ChatDev improves the accuracy of answers by retrieving relevant information from a pre-indexed database, ensuring that answers are always aligned with the context of the question.

AI Driven youtube kol connect tools.

Extraer y visualizar embeddings de grandes modelos del lenguaje.

Chatbot RAG que responde perguntas sobre PDFs usando LangChain, FAISS e Groq (Llama 3.3)

Sistema inteligente de optimización de CVs que utiliza una arquitectura multi-agente con RAG (Generación Aumentada por Recuperación), aceleración OpenVINO NPU e inferencia local de LLM vía Ollama para generar currículums profesionales en español latinoamericano.

Sistema de recomendação de filmes utilizando IA Generativa, processamento de Embeddings (Sentence-Transformers) e cálculo de similaridade de cosseno (Scikit-Learn) integrado ao Streamlit.