Python client library for Graphlit Platform
🏛️ Retrieval Augmented Generation Systems (GitHub Defaults): Central hub for organizational templates, guidelines, and standards.
TypeScript client for Graphlit Platform
High performance and CommonMark compliant HTML to Markdown converter
Open-source platform to build and deploy AI agent workflows.
This repository contains example of a RAG chat bot with a basic architecture (designed for scenarios without network isolation), and a standard Zero-Trust Architecture deployment. It is intended for quick demos and should be adjusted as needed to fit specific use cases or requirements.
The open-source RAG API platform
🐊 Snappy: A vision-first document retrieval framework, using ColPali + DeepSeek OCR. Like the project? Drop me a star! ⭐
Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
AI + Data, online. https://vespa.ai
Production-grade Retrieval-Augmented Generation pipeline with FastAPI, RAGAS evaluation, A/B testing hooks, Locust load tests, and Kubernetes manifests. Includes monitoring (Prometheus/Grafana), Poetry, Makefile, and CI/CD.
🎓 Projet réalisé dans le cadre du Diplôme Universitaire Sorbonne Data Analytics (2025-2026). Développé par Alexandre, Jiwon, Wai et Patricia, ce projet combine MLOps et IA Générative pour prédire le risque de défaut sur des prêts bancaires et interagir avec un agent intelligent LangChain intégrant RAG, Machine Learning, calculs et recherche web.
Streamlit demo of Scrapegraph-ai for GPT4-hackaton
Kubernetes for AI Agents. Build and run AI like microservices - scalable, observable, and identity-aware from day one.
Production-ready RAG-powered NLP API with Retrieval-Augmented Generation, sentiment analysis, and entity analytics. FastAPI + ChromaDB + Google Gemini.
Federated query engine for AI - The only MCP Server you'll ever need
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