Cognita is an open source framework designed to help developers build, organize, and deploy Retrieval-Augmented Generation (RAG) applications in a structured and production-ready way. It addresses the gap between quick experimentation in notebooks and the complexity of deploying scalable AI systems by introducing a modular and API-driven architecture. Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize each stage of the RAG pipeline independently. It includes both a backend service and a frontend interface, enabling users to upload documents, experiment with configurations, and perform question-answering tasks interactively. Cognita supports incremental indexing, meaning it processes only new or updated data to reduce computational overhead and improve efficiency.
Features
- Modular architecture with customizable RAG components like loaders and retrievers
- Built-in API server for handling queries and scalable deployments
- Frontend UI for uploading documents and interactive question answering
- Incremental indexing to avoid reprocessing unchanged documents
- Support for multiple vector databases and embedding models
- Integration with local or external LLM providers for flexible inference