Context Aware RAG

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized RAG pipelines.

Key Features

• Data Ingestion Service: Add data to the RAG pipeline from a variety of sources.

• Data Retrieval Service: Retrieve data from the RAG pipeline using natural language queries.

• Function and Tool Components: Easy to create custom functions and tools to support your existing workflows.

• GraphRAG: Seamlessly extract knowledge graphs from data to support your existing workflows.

• Observability: Monitor and troubleshoot your workflows with any OpenTelemetry-compatible monitoring tool.

• Experimental Features:

  • Model Context Protocol Tools: Enable interaction with CA-RAG library through MCP tools when hosted as a service.

  • Structured Response: Enable CA-RAG to return retrieval responses as JSON with specified structure when used as a library or service.

With Context Aware RAG, you can quickly build RAG pipelines to support your existing workflows.