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In #993, I introduce a search index that has to be manually constructed on each edit of a sample. This is optional, and not particularly resource intensive (though should be benchmarked). The same approach could be taken to enable vector search. As this would be quite niche, I think simply using something like https://github.com/asg017/sqlite-vec could work well, and would allow for much more powerful AI agent use.
This is also something that could be developed as an "offline" search index in the yellowhammer repo, i.e., download all public data from a deployment, create the index/embedding, then add an sqlite layer on the client-side.
In #993, I introduce a search index that has to be manually constructed on each edit of a sample. This is optional, and not particularly resource intensive (though should be benchmarked). The same approach could be taken to enable vector search. As this would be quite niche, I think simply using something like https://github.com/asg017/sqlite-vec could work well, and would allow for much more powerful AI agent use.
cc @jdbocarsly
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