Drag-and-Drop LLMs: Simplifying RAG with FlowiseAI and Milvus

Join us for an in-depth webinar featuring Henry Heng from FlowiseAI. In this session, we'll explore how to build customized Large Language Models (LLM) with a special focus on the crucial role of Retrieval Augmented Generation (RAG). Discover how Milvus, a leading vector database, serves as the backbone for efficient data retrieval and generation within the RAG process, seamlessly integrating with FlowiseAI to elevate your LLM capabilities.

Key Takeaways:

- Get an overview of FlowiseAI's open-source UI visual tool for building LLM flows.
- Learn how Milvus, a leading vector database, integrates seamlessly with - - -- FlowiseAI to power the vector store component in RAG.
- Walk through real-world use cases that leverage the combined strengths of - FlowiseAI and Milvus for optimized language understanding and generation.

[bobbyjunelive]

I love Flowise. Since it is open source, why don't we see another Flowise out in the world with like a different UI or whatevs?

[KleiAliaj]

basically my question where to find and specify username and password