CAMEL
Zilliz Cloud and Camel join forces to enable AI-driven vector search and multi-agent systems.
Use this integration for FreeAbout Camel
Camel is an open-source AI framework for building and using large language model (LLM) based agents. It provides a generic infrastructure for creating customizable agents, constructing multi-agent systems, and enabling practical applications. Camel aims to explore scalable techniques for autonomous cooperation among communicative agents and their cognitive processes.
Why Zilliz Cloud and Camel
Integrating Zilliz Cloud with Camel creates a powerful combination for AI-driven applications. Zilliz Cloud provides a scalable vector database for efficient similarity search, while Camel offers a flexible framework for building LLM-based agents. This integration enables developers to create advanced AI systems that can perform complex tasks, such as retrieval-augmented generation (RAG) and multi-agent collaboration, with high-performance vector search capabilities.
How Zilliz Cloud and Camel works
The integration of Zilliz Cloud and Camel allows developers to leverage Zilliz Cloud's vector database for storing and querying high-dimensional vectors generated by LLMs or other AI models. Camel's agents can use Zilliz Cloud to perform similarity searches, retrieve relevant information, and enhance their decision-making processes. This combination supports the development of AI applications that require efficient vector search and complex agent interactions, such as question-answering systems, recommendation engines, and collaborative AI tasks.
Learn
The best way to start is with a hands-on tutorial. This tutorial will walk you through how to build an AI Framework with Camel & Zilliz Cloud.
Retrieval-Augmented Generation (RAG) with Milvus and Camel
And here are a few more resources: