Tutorial update!

current example w/ ID field wasn't working perhaps due to a collision in the metadata fields and the ID column

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

refactor: Update vectorstore search to support inline embedding

While using inline embedding functions in the current select sql query,
due to parameterization, sql throws an error( The parameter has to
already be in vector datatype).
This change is to support inline embedding functions.

chore(docs): Add an Async Explainer doc

This async explainer doc explains the benefits of a having duality in
classes for PGVectorStore.

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Co-authored-by: Averi Kitsch <akitsch@google.com>

Fix typo `psycogp3` -> `psycopg3`.

Co-authored-by: Averi Kitsch <akitsch@google.com>

….13 (#208)

* Update pyproject.toml
* Add uv.lock
* Update workflows and actions to use uv
* Linted a bunch of files
* Had to add ruff lint ignore rules especially for E501 (long lines) to
v2 implementation of pgvectorstores -- ideally we can fix those up at
some point
* Currently only testing with python 3.12. We should parallelize the
test when possible, would require handling the postgres service to
accommodate

Add support for a metadata column named id in PGVectorStore

Fixes an issue that prevented adding a metadata column named id to the
vector store, due to a conflict with the id parameter in the insert
query. Users can now successfully include a metadata column with the
name id.

Co-authored-by: Averi Kitsch <akitsch@google.com>

…ke/$in/$nin on same column (#217)

Fixed issue #216. 

Pull request adds a filter test case that was failing and the fix for
internal function _handle_field_filter.
The function fix is to add an unique identifier to the column names of
operator in, nin, like and ilike

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Co-authored-by: AD101\z004nm6m <carlos.martins@siemens-energy.com>

fix #215

Co-authored-by: Averi Kitsch <akitsch@google.com>