Building a Rag Code Base Ai Agent - 搜索视频

Most RAG systems only return text from your knowledge base. But what about images and diagrams in your documents? The key is to extract all of these and save them as images on your file server. When you upload these documents to your vector store, include the image URLs either within the content itself or as chunk metadata. That way, when your AI agent retrieves chunks from the knowledge base, it gets both the text content and the image URL. The result is that your AI agent can actually render i

Most RAG systems only return text from your knowledge base. But what about images and diagrams in your documents? The key is to extract all of these and save them as images on your file server. When you upload these documents to your vector store, include the image URLs either within the content itself or as chunk metadata. That way, when your AI agent retrieves chunks from the knowledge base, it gets both the text content and the image URL. The result is that your AI agent can actually render i

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