After the refactoring on both client and server side, we should have the
ability to fully use lance REST namespace to call into LanceDB cloud and
enterprise. We can avoid having a JNI implementation (which today does
not really do anything except for vending a connection object), and just
use lance-core's RestNamespace.
We will at this moment have a LanceDbRestNamespaceBuilder to allow users
to more easily build the RestNamespace to talk to LanceDB Cloud or
Enterprise endpoint.
In the future, we could extend this further to also support the local
mode through DirectoryNamespace. That will be a separated PR.
This PR does the following:
- Pare down the docs to only what's needed (Python, JS/TS API docs and a
pointer to Rust docs)
- Styling changes to be more in line with the main website theme
The relative URLs remain unchanged, so assuming CI passes, there should
be no breaking changes from the main docs site that points back here.
Adds example for querying a dataset with SQL
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Documentation**
- Added new guides on querying LanceDB tables using SQL with DuckDB and
Apache Datafusion.
- Included detailed instructions for integrating LanceDB with Datafusion
in Python.
- Updated navigation to include Datafusion and SQL querying
documentation.
- Improved formatting in TypeScript and vectordb update examples for
consistency.
- **Tests**
- Added a new test demonstrating SQL querying on Lance tables via
DataFusion integration.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Documentation**
- Added a comprehensive guide for integrating LanceDB with Genkit,
including installation instructions, setup, indexing, retrieval, and
building a custom RAG pipeline with example code and screenshots.
- Updated the documentation navigation to include the new Genkit
integration, making it accessible from the site menu.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
BREAKING CHANGE: embedding function implementations in Node need to now
call `resolveVariables()` in their constructors and should **not**
implement `toJSON()`.
This tries to address the handling of secrets. In Node, they are
currently lost. In Python, they are currently leaked into the table
schema metadata.
This PR introduces an in-memory variable store on the function registry.
It also allows embedding function definitions to label certain config
values as "sensitive", and the preprocessing logic will raise an error
if users try to pass in hard-coded values.
Closes#2110Closes#521
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
Address usage mistakes in
https://github.com/lancedb/lancedb/issues/2135.
* Add example of how to use `LanceModel` and `Vector` decorator
* Add test for pydantic doc
* Fix the example to directly use LanceModel instead of calling
`MyModel.to_arrow_schema()` in the example.
* Add cross-reference link to pydantic doc site
* Configure mkdocs to watch code changes in python directory.
* Add `See Also` section to `cleanup_old_files` and `compact_files` so
they know it's linked to `optimize`.
* Fixes link to `compact_files` arguments
* Improves formatting of note.
This exposes the `LANCEDB_LOG` environment variable in node, so that
users can now turn on logging.
In addition, fixes a bug where only the top-level error from Rust was
being shown. This PR makes sure the full error chain is included in the
error message. In the future, will improve this so the error chain is
set on the [cause](https://nodejs.org/api/errors.html#errorcause)
property of JS errors https://github.com/lancedb/lancedb/issues/1779Fixes#1774
BREAKING CHANGE: default tokenizer no longer does stemming or stop-word
removal. Users should explicitly turn that option on in the future.
- upgrade lance to 0.19.1
- update the FTS docs
- update the FTS API
Upstream change notes:
https://github.com/lancedb/lance/releases/tag/v0.19.1
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
- Tried to address some onboarding feedbacks listed in
https://github.com/lancedb/lancedb/issues/1224
- Improve visibility of pydantic integration and embedding API. (Based
on onboarding feedback - Many ways of ingesting data, defining schema
but not sure what to use in a specific use-case)
- Add a guide that takes users through testing and improving retriever
performance using built-in utilities like hybrid-search and reranking
- Add some benchmarks for the above
- Add missing cohere docs
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
