CAMEL-AI is a Python-based framework that allows developers and researchers to build, configure, and run multiple autonomous AI agents powered by LLMs. It offers built-in support for retrieval-augmented generation (RAG), external tool usage, agent communication, memory and state management, and scheduling. With modular components and easy integration, teams can prototype complex multi-agent systems, automate workflows, and scale experiments across different LLM backends.

Inquir is the ultimate tool for creating personalized search engines tailored to your data. With Inquir, you can build custom search solutions, integrate various data sources, and create advanced AI-driven retrieval systems. It provides tools like AI-powered RAG chatbots, enterprise search solutions, and research and analytics platforms. Inquir helps you transform user experiences with context-aware search functionalities. It's ideal for enhancing product discovery in e-commerce, boosting research workflows, and improving enterprise search capabilities.