Simba

Simba

Connect your Knowledge into any RAG based system

11 followers

Portable KMS (knowledge management system) designed to integrate seamlessly with any Retrieval-Augmented Generation (RAG) system - You can pick multiple document parsers, manage your chunks, vector stores and LLMs
Simba  gallery image
Simba  gallery image
Free
Launch Team / Built With
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
Promoted

What do you think? …

Hamza Zerouali
Hello PH gang! 👋 We're thrilled to introduce Simba – your open source, portable Knowledge Management System (KMS) designed to connect your knowledge with any Retrieval-Augmented Generation (RAG) system. With its modern UI and modular architecture, Simba empowers developers to build advanced AI solutions while taking care of the complexities of knowledge management. Why Did We Build Simba? 🛠️ Managing knowledge for AI systems can be a labyrinth of challenges—from document ingestion and parsing to chunking, embedding, and retrieval. We built Simba because we saw the need for a unified, developer-centric platform that: ✅ Simplifies Integration: Seamlessly plugs into any RAG system. ✅ Streamlines Processes: Handles document processing and storage so you can focus on building AI. ✅ Empowers Developers: Offers a modern UI and modular design that adapts to your unique workflow. How Does Simba Work? ⚙️ 🔹 Modular Architecture: Easily plug in different vector stores, embedding models, chunkers, and parsers to fit your needs 🔄 🔹 User-Friendly Interface: Enjoy an intuitive dashboard to visualize, manage, and refine document chunks with ease 🖥️ 🔹 Seamless AI Integration: Connect Simba to any RAG system, ensuring fast and accurate retrieval of knowledge 📚🔍 🔹 Developer-Optimized Backend: Built with Python 3.11, FastAPI, Celery, and Redis, Simba ensures speed, scalability, and reliability 🏎️💨 What’s Next for Simba? 🚀 💡 Importable Python Package: Turn Simba into a plug-and-play module for seamless RAG integration 💡 Expanded Component Support: More parsers, vector stores, embedding models, and retrieval methods are on the roadmap 💡 Enterprise-Ready Features: Role-based access control, CI/CD pipelines, and more production-grade enhancements 💡 Community-Driven Development: Your feedback helps shape Simba’s evolution—let’s build together! 🤝 Get Started Today 🚀 https://github.com/GitHamza0206/... We’re excited to have you join us on this journey to redefine knowledge management for AI. Your support, feedback, and contributions drive Simba forward—let's make AI smarter, one document at a time! 💡🔍 Feel free to book a call here if interested : https://calendly.com/zeroualiham... 🤜🤛 High-fiving you from across the internet, 🎉 Team Simba