For anyone into taking notes try adding them to a vector database so you can query them with natural language rather than stuffing SEO keywords and labels into them for searchability. You can use local models via something like Ollama [1] to generate the embeddings and store them in a DB. I’ve been playing around with Qdrant [2] running in Docker and found it easy to setup. 1.

Embedding models · Ollama Blog

Embedding models are available in Ollama, making it easy to generate vector embeddings for use in search and retrieval augmented generation (RAG) a...

2.

GitHub

GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https:...