ReplyInbox is a sophisticated AI tool that aids in managing email responses. It utilizes advanced machine learning algorithms to generate context-aware replies for email inquiries, customer reviews, and other digital communications. Integrated seamlessly with Gmail, this tool understands the nuances of your conversations, allowing for personalized and prompt responses. Whether you are managing a busy inbox or handling customer feedback, ReplyInbox streamlines the communication process, ultimately helping you save time and improve customer engagement.

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.