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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).
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pgvector/pgvector:pg16
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### Reference Issues
_No response_
### Summary
would be nice to see support for pgvector
### Basic Example
rely on langchain's wrapper
https://python.langchain.com/v0.2/docs/integrations/vecto…
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I assume this work has nothing to do with the pgVector module, does it not?
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pgvector/pgvector:0.7.4-pg16
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I'm experimenting with `pgvector` and the two configuration properties `quarkus.langchain4j.pgvector.use-index` and `quarkus.langchain4j.pgvector.index-list-size` are a bit obscure.
I don't know ex…
gsmet updated
1 month ago
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Many real world use cases require robust DBs like postgres. With pgvector it can function as a vector db for a RAG.
Are there any plans to add postgres?
agamm updated
3 weeks ago
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### Bug Description
I was doing some test on a rag flow, and noted that the fields i was adding in the metadata filter was not being added in the sql query being executed.
```sql
SELECT *, "embed…
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### Checklist
- [X] There are no similar issues or pull requests for this yet.
### Is your feature related to a problem? Please describe.
sqladmin/forms.py", line 274, in get_converter
raise N…