Weaviate Podcast Agentic RAG with Erika Cardenas - Weaviate Podcast #109!
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Nov 13, 2024 In this engaging discussion, Erika Cardenas, Technology Partner Manager at Weaviate, dives deep into the innovative world of Agentic RAG systems. She explains how Agentic RAG outperforms traditional approaches by enhancing complex querying and reasoning. The conversation explores the importance of memory in AI, the evolution of multi-agent systems, and the role of generative feedback loops in advancing AI capabilities. Erika also emphasizes the necessity of human oversight in AI, underscoring collaborative approaches between machines and human input.
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Agent Components
- Agents consist of a language model, memory, planning capabilities, and tools.
- These tools, accessible via APIs, empower language models to interact with databases, web services, and more.
Agentic RAG vs. Vanilla RAG
- Agentic RAG goes beyond the retrieve-augment-generate pipeline of vanilla RAG.
- Agents plan steps, use tools, and iteratively seek information from various sources.
Planning in Agent Systems
- Planning in agent systems involves breaking down user queries and determining the necessary steps.
- This includes selecting appropriate tools and filters for database queries.