Jinjing Zhou comments

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                                            Jinjing Zhou

Implement aggregate functions for sparse vector.

Both end2end and unit test

feat: pgvecto.rs in AWS marketplace

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The default max_stack_depth parameter in the container image may be too small

We have not seen this error before, is your query very complex?

The default max_stack_depth parameter in the container image may be too small

Can you provide steps to reproduce the problem? We have not received any similar problem reports so far.

The default max_stack_depth parameter in the container image may be too small

How long has this image been running? How many vectors do you have? Does restart make it work well?

The default max_stack_depth parameter in the container image may be too small

Sorry to hear that. Currently you may need to manually delete all the files under `pgdata/pgvecto_rs` and run `REINDEX` for the indexes. The problem might be related to scalar quantization.

The default max_stack_depth parameter in the container image may be too small

The error you met may due to `code: 2, kind: NotFound, message: "No such file or directory"`, so that too many error accumulated. Do you meet the error after inserting...

blog: Sparse vector search in pgvecto.rs

https://gist.github.com/silver-ymz/26ac428e23a2f8efc79881ecef757292

feat: ScaNN index

@karajan1001 ScaNN might be hard to implement since original code highly coupled with tensorflow. I would suggest DiskANN, since it's designed for disk workload, which is suitable for postgres. And...

design: Managed service

- fdw - observability