cognita and context-aware-rag
These are complements—Cognita provides the general RAG framework for building production applications, while Context-Aware RAG offers specialized knowledge graph ingestion and retrieval capabilities that could enhance Cognita's retrieval layer.
About cognita
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
This framework helps developers quickly build, organize, and deploy Retrieval Augmented Generation (RAG) applications that can answer questions based on specific documents or data. It takes in various document types (text, audio, video) and uses them to power a question-answering system. Data scientists and machine learning engineers who need to move RAG prototypes from notebooks to production-ready systems would use this.
About context-aware-rag
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
Supports multiple data sources and storage backends (Neo4j, Milvus, ArangoDB, MinIO) with pluggable ingestion and retrieval strategies, including GraphRAG for automatic knowledge graph extraction. Built as microservices with separate ingestion and retrieval APIs, integrated OpenTelemetry observability via Phoenix and Prometheus, and experimental Model Context Protocol (MCP) support for agentic AI workflows. Uses component-based architecture enabling custom function composition while maintaining compatibility with existing data pipelines.
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