Comment by romanhn

Thanks for posting this, very timely as I'm also playing around with pgvector for semantic search. I saw that you ended up trimming inputs longer than 8K tokens. Have you looked into chunking (breaking input into smaller chunks and doing vector search on the chunks)? Embedding models I'm playing with have a max of 512 tokens, so chunking is pretty much a must. Choosing a chunking strategy seems to be a deep rabbit hole of its own.