Window AI is a powerful browser extension designed to simplify the use of AI models for web applications. It allows users to access and integrate different AI capabilities without the hassle of API key management. Whether for generating text, creating 3D content, or other AI-driven applications, Window AI makes it seamless to leverage top models like those from OpenAI and Google. With its user-friendly interface and flexibility, it caters to both casual users and developers seeking advanced AI functionalities.

AgenticRAG provides a modular architecture for creating autonomous agents that leverage retrieval-augmented generation (RAG). It offers components to index documents in vector stores, retrieve relevant context, and feed it into LLMs to generate context-aware responses. Users can integrate external APIs and tools, configure memory stores to track conversation history, and define custom workflows to orchestrate multi-step decision-making processes. The framework supports popular vector databases like Pinecone and FAISS, and LLM providers such as OpenAI, allowing seamless switching or multi-model setups. With built-in abstractions for agent loops and tool management, AgenticRAG simplifies development of agents capable of tasks like document QA, automated research, and knowledge-driven automation, reducing boilerplate code and accelerating time to deployment.