feat. Integrated agent_rag_handler with the agent class #903
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- Introduced a new example demonstrating RAG integration with Swarms framework. - Added SimpleMemoryStore class for in-memory storage and querying. - Enhanced Agent class with RAG configuration and methods for RAG operations. - Updated RAGConfig to include default relevance keywords for insights extraction.
harshalmore31
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This pull request introduces a comprehensive integration of Retrieval-Augmented Generation (RAG) functionality into the Swarms framework. It includes a new example script (
simple_rag_example.py), updates to theAgentclass to support RAG operations, and enhancements to theAgentRAGHandler. These changes aim to improve the framework's ability to retrieve and utilize external knowledge dynamically.RAG Integration Enhancements:
simple_rag_example.py, demonstrating the usage of RAG with a simple memory store and Swarms Agent. The example includes memory querying, manual saves, and integration of RAG into agent workflows.Agentclass with methods for enabling, disabling, and managing RAG functionality, including memory queries, saving to memory, and retrieving statistics. Legacy methods were replaced with new RAG-specific handlers. [1] [2] [3]AgentRAGHandlerto ensure default relevance keywords are used when none are provided in the RAG configuration.Code Refactoring:
Agentinitialization to support RAG configuration directly and ensure proper setup of the RAG handler. Legacy methods for memory querying and handling were deprecated. [1] [2]_runand related methods inAgentto incorporate RAG operations seamlessly during task execution and final memory consolidation. [1] [2]Framework Updates:
RAGConfigto the Swarmsstructsmodule to facilitate RAG configuration management. [1] [2]_save_additional_componentsand_reinitialize_after_loadmethods to support saving and reinitializing RAG handler statistics. [1] [2] [FEAT] [Integrate AgentRAGHandler] #880📚 Documentation preview 📚: https://swarms--903.org.readthedocs.build/en/903/