The Controllable RAG Agent framework provides a modular approach to building Retrieval-Augmented Generation systems. It allows you to configure and chain retrieval components, memory modules, and generation strategies. Developers can plug in different LLMs, vector databases, and policy controllers to adjust how documents are fetched and processed before generation. Built on Python, it includes utilities for indexing, querying, conversation history tracking, and action-based control flows, making it ideal for chatbots, knowledge assistants, and research tools.

Dashworks serves as an AI knowledge assistant designed for enterprises. It unifies disparate knowledge bases within an organization, allowing users to find answers quickly and efficiently. With powerful AI-driven search capabilities, it integrates seamlessly with company apps, documents, and messages, providing a centralized platform for data retrieval and content creation. Dashworks helps businesses improve productivity by making information easily accessible, thus streamlining internal communications and workflows.