VectorHub
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VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
small update
Please contact me via email at kobie (dot) crawford (at) databricks (dot) com if you need any references authorizing the publishing of this content.
This content explores semantic chunking in depth. I have shown how to implement semantic chunking from scratch using 3 methods: embedding similarity, hierarchical clustering, and LLMs. This article also includes...
in progress, will update then start review
The limit for the vector type is 16,000 dimensions ([docs](https://github.com/pgvector/pgvector?tab=readme-ov-file#vector-type)). 2,000 is the limit for indexing it (you'll see an error if you try).
This pull request adds [Chromia's Vector DB](https://docs.chromia.com/intro/extensions/vector-db) to the vector database comparison table
This pull request adds ObjectBox database to the vector database comparison table.
@fm1320