Updates dependencies to Chroma to integrate the major release of Chroma
with improved performance, and to fix issues users have been seeing
using the latest chroma docker image with langchain-chroma
https://github.com/langchain-ai/langchain/issues/31047#issuecomment-2850790841
Updates chromadb dependency to >=1.0.9
This also removes the dependency of chroma-hnswlib, meaning it can run
against python 3.13 runners for tests as well.
Tested this by pulling the latest Chroma docker image, running
langchain-chroma using client mode
```
httpClient = chromadb.HttpClient(host="localhost", port=8000)
vector_store = Chroma(
client=httpClient,
collection_name="test",
embedding_function=embeddings,
)
```
Follow up to https://github.com/langchain-ai/langsmith-sdk/pull/1696,
I've bumped the `langsmith` version where applicable in `uv.lock`.
Type checking problems here because deps have been updated in
`pyproject.toml` and `uv lock` hasn't been run - we should enforce that
in the future - goes with the other dependabot todos :).
Generally, this PR is CI performance focused + aims to clean up some
dependencies at the same time.
1. Unpins upper bounds for `numpy` in all `pyproject.toml` files where
`numpy` is specified
2. Requires `numpy >= 2.1.0` for Python 3.13 and `numpy > v1.26.0` for
Python 3.12, plus a `numpy` min version bump for `chroma`
3. Speeds up CI by minutes - linting on Python 3.13, installing `numpy <
2.1.0` was taking [~3
minutes](https://github.com/langchain-ai/langchain/actions/runs/14316342925/job/40123305868?pr=30713),
now the entire env setup takes a few seconds
4. Deleted the `numpy` test dependency from partners where that was not
used, specifically `huggingface`, `voyageai`, `xai`, and `nomic`.
It's a bit unfortunate that `langchain-community` depends on `numpy`, we
might want to try to fix that in the future...
Closes https://github.com/langchain-ai/langchain/issues/26026
Fixes https://github.com/langchain-ai/langchain/issues/30555
