Work in Progress.
WIP
Not ready...
Adds Document Loader support for
[Geopandas.GeoDataFrames](https://geopandas.org/)
Example:
- [x] stub out `GeoDataFrameLoader` class
- [x] stub out integration tests
- [ ] Experiment with different geometry text representations
- [ ] Verify CRS is successfully added in metadata
- [ ] Test effectiveness of searches on geometries
- [ ] Test with different geometry types (point, line, polygon with
multi-variants).
- [ ] Add documentation
---------
Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>
Removing **kwargs argument from add_texts method in DeepLake vectorstore
as it confuses users and doesn't fail when user is typing incorrect
parameters.
Also added small test to ensure the change is applies correctly.
Guys could pls take a look: @rlancemartin, @eyurtsev, this is a small
PR.
Thx so much!
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- Adds integration for MLflow AI Gateway (this will be shipped in MLflow
2.5 this week).
Manual testing:
```sh
# Move to mlflow repo
cd /path/to/mlflow
# install langchain
pip install git+https://github.com/harupy/langchain.git@gateway-integration
# launch gateway service
mlflow gateway start --config-path examples/gateway/openai/config.yaml
# Then, run the examples in this PR
```
Fixed missing "content" field in azure.
Added a check for "content" in _dict (missing for azure
api=2023-07-01-preview)
@baskaryan
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Description: VectorStoreRetriever->similarity_score_threshold with
search_type of "similarity_score_threshold" not working with the
following two minor issues,
- Issue: 1. In line 237 of `vectorstores/base.py`, "score_threshold" is
passed to `_similarity_search_with_relevance_scores` as in the kwargs,
while score_threshold is not a valid argument of this method. As a fix,
before calling `_similarity_search_with_relevance_scores`,
score_threshold is popped from kwargs. 2. In line 596 to 607 of
`vectorstores/pgvector.py`, it's checking the distance_strategy against
the string in Enum. However, self.distance_strategy will get the
property of distance_strategy from line 316, where the callable function
is passed. To solve this issue, self.distance_strategy is changed to
self._distance_strategy to avoid calling the property method.,
- Dependencies: No,
- Tag maintainer: @rlancemartin, @eyurtsev,
- Twitter handle: No
---------
Co-authored-by: Bin Wang <bin@arcanum.ai>
- Description: exposes the ResultItem DocumentAttributes as document
metadata with key 'document_attributes' and refactors
AmazonKendraRetriever by providing a ResultItem base class in order to
avoid duplicate code;
- Tag maintainer: @3coins @hupe1980 @dev2049 @baskaryan
- Twitter handle: wilsonleao
### Why?
Some use cases depend on specific document attributes returned by the
retriever in order to improve the quality of the overall completion and
adjust what will be displayed to the user. For the sake of consistency,
we need to expose the DocumentAttributes as document metadata so we are
sure that we are using the values returned by the kendra request issued
by langchain.
I would appreciate your review @3coins @hupe1980 @dev2049. Thank you in
advance!
### References
- [Amazon Kendra
DocumentAttribute](https://docs.aws.amazon.com/kendra/latest/APIReference/API_DocumentAttribute.html)
- [Amazon Kendra
DocumentAttributeValue](https://docs.aws.amazon.com/kendra/latest/APIReference/API_DocumentAttributeValue.html)
---------
Co-authored-by: Piyush Jain <piyushjain@duck.com>
