Cognita is an open-source framework that simplifies the process of building and deploying Retrieval Augmented Generation (RAG) systems.
It provides a modular and customizable architecture that makes it easier to create production-ready RAG applications.
Key Features of Cognita
- A central repository of reusable components like parsers, loaders, embedders and retrievers
- Ability for non-technical users to interact with the system via a user-friendly UI
- API-driven architecture enabling integration with other systems
- Support for incremental indexing to optimize compute resources
- Flexibility to customize each component of the RAG pipeline
- Local deployment options for testing and development
- Cloud deployment support for scalability and collaboration
How Cognita Works
Cognita breaks down the RAG process into distinct modular steps:
- Data Loaders - Load data from various sources like local directories, S3, databases etc.
- Parsers - Convert different file formats into a common representation
- Embedders - Generate embeddings to capture the essence of documents
- Rerankers - Refine the retrieved documents based on relevance
- Vector DBs - Store and query the document embeddings
- Metadata Store - Store additional metadata about the documents
- Query Controllers - Define custom logic to tailor responses to queries
By providing this modular architecture, Cognita enables teams to easily build and deploy RAG applications tailored to their specific use cases. It aims to strike a balance between full customization and user-friendliness, while keeping scalability and maintainability in mind.