Vector databases need optimization so AI agents retrieve accurate answers. The video covers loading data, generating embeddings, filtering metadata, and splitting content to save time and money.
Vector databases. It's so important that you're putting your information into them optimally so your agent is actually getting the answers correct. I just made a video where I show different ways that you can load your information, embed your information, add metadata, filter metadata, split up your information. That way you know that your vector database is optimized to save you time and money. If that sounds interesting to you, go to my channel to watch the video and check out some other videos about N8N and AI agents. I'll see you there.
