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Multi-node distributed LLM training framework

Cloud-agnostic Agentic AI & Multi-Modal RAG platform with GraphRAG, intelligent routing, MCP enterprise integrations (Odoo, PostgreSQL), and pluggable LLM providers.

Self-hostable AI text detector, bring your own model, calibrate on your domain, run locally or on Modal GPU.

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

Finetune GPT2 for text summarization

A Non-Official HuggingFace Rest Client for Unity (UPM)

Remove Backgroud from a video 🧤🎥

Text Summarization on Spotify Podcast Transcripts for NLP class at @UNIBO

Query, ask and chat with a document-index via transformer models!

Collection of public datasets from the French administration, vectorized and ready to use in AI projects.

Build a full-stack AI chatbot using Python, React, FastAPI, and GPT-J-6B. Utilize Redis for efficient data storage, enabling real-time conversations and advanced language processing

A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

A simple Ruby UI for Chroma database.

Open Server is an OpenAI API Compatible Server for generating text, images, embeddings, and storing them in vector databases. It also includes a chat functionality.

Modern ChromaDB web UI for browsing collections, inspecting records, running queries, and editing documents, metadata, and embeddings

Python SDK for FirstBatch: Real-time personalization using vectorDBs

Vector Search Benchmarking suite

Vortex is a self-hosted RAG (Retrieval-Augmented Generation) application that lets you chat with your documents using any LLM provider. Upload PDFs, ingest URLs, and get accurate answers grounded in your own knowledge bases — all with a clean, modern interface.

Vectorstores is a framework for using vector databases in your AI applications