add the tag related API to list existing tags, attach tag to a version,
update the tag version, delete tag, get the version of the tag, and
checkout the version that the tag bounded to.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced table version tagging, allowing users to create, update,
delete, and list human-readable tags for specific table versions.
- Enabled checking out a table by either version number or tag name.
- Added new interfaces for tag management in both Python and Node.js
APIs, supporting synchronous and asynchronous workflows.
- **Bug Fixes**
- None.
- **Documentation**
- Updated documentation to describe the new tagging features, including
usage examples.
- **Tests**
- Added comprehensive tests for tag creation, updating, deletion,
listing, and version checkout by tag in both Python and Node.js
environments.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Fix hybrid search explain plan analyze plan API
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added options to view the execution plan and analyze the runtime
performance of hybrid queries.
- **Refactor**
- Improved internal handling of query setup for better modularity and
maintainability.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Upstream changelog:
https://github.com/lancedb/lance/releases/tag/v0.26.0
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Chores**
- Updated dependency management to use published crate versions for
improved reliability and maintainability.
- Added a temporary workaround for build issues by pinning a specific
version of a dependency.
- **Refactor**
- Improved resource management and concurrency by updating internal
ownership models for object storage components.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added support for distance range filtering in hybrid vector queries,
allowing users to specify lower and upper bounds for search results.
- **Tests**
- Introduced new tests to validate distance range filtering and
reranking in both synchronous and asynchronous hybrid query scenarios.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
To workaround this issue: https://github.com/lancedb/lancedb/issues/2211
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Bug Fixes**
- Improved handling of large query parameters to prevent potential
overflow issues when using the "k" parameter in queries.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Fixes#2315.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Refactor**
- Enhanced query processing to maintain smooth functionality across
different dependency versions, ensuring improved stability and
performance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Improved CI workflow for documentation builds by optimizing Rust build
settings and updating the runner environment.
- Fixed a typo in a workflow step name.
- Streamlined caching steps to reduce redundancy and improve efficiency.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Closes https://github.com/lancedb/lancedb/issues/2307
* Adds retries to remote operations with stream bodies (add,
merge_insert)
* Change default retryable status codes to 409, 429, 500, 502, 503, 504
* Don't retry add or merge_insert operations on 5xx responses
Notes:
* Supporting retries on stream bodies means we have to buffer the body
into memory so it can be cloned on retry. This will impact memory use
patterns for the remote client. This buffering can be disabled by
disabling retries (i.e. setting retries to 0 in RetryConfig)
* It does not seem that retry config can be specified by env vars as the
documentation suggests. I added a follow-up issue
[here](https://github.com/lancedb/lancedb/issues/2350)
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
## Summary by CodeRabbit
- **New Features**
- Enhanced retry support for remote requests with configurable limits
and exponential backoff with jitter.
- Added robust retry logic for streaming data uploads, enabling retries
with buffered data to ensure reliability.
- **Bug Fixes**
- Improved error handling and retry behavior for HTTP status codes 409
and 504.
- **Refactor**
- Centralized and modularized HTTP request sending and retry logic
across remote database and table operations.
- Streamlined request ID management for improved traceability.
- Simplified error message construction in index waiting functionality.
- **Tests**
- Added a test verifying merge-insert retries on HTTP 409 responses.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
I added a timeout to query execution options in
https://github.com/lancedb/lancedb/pull/2288. However, this was send to
the request timeout, but the retry implementation is unaware of this
timeout. So once the query timed out, a retry would be triggered.
Instead, this PR changes it so the timeout happens outside the retry
loop.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Bug Fixes**
- Improved query timeout handling to provide clearer error messages and
more reliable cancellation if a query takes too long to complete.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Fixes#2344
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Tests**
- Updated tests to use PyArrow Tables instead of pandas DataFrames where
possible, reducing reliance on pandas.
- Tests that require pandas are now automatically skipped if pandas is
not installed.
- **Chores**
- Improved workflow to uninstall both pylance and pandas in a specific
test step.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
The docs in the Guide here do not match the [API reference]
(https://lancedb.github.io/lancedb/js/classes/Table/#updateopts) for the
nodejs client.
I am writing an Elixir wrapper over the typescript library (Rust
forthcoming!) and confirmed in testing that the API reference is correct
vs the Guide.
Following the Guide docs, the error I got was:
"lance error: Invalid user input: Schema error: No field named bar.
Valid fields are foo. For a query of:
await table.update({foo: "buzz"}, { where: "foo = 'bar'"});
Over a table with a schema of just {foo: Utf8}.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Documentation**
- Reformatted a code snippet in the guide to enhance readability by
splitting it into multiple lines for improved clarity.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
* Add new wait_for_index() table operation that polls until indices are
created/fully indexed
* Add an optional wait timeout parameter to all create_index operations
* Python and NodeJS interfaces
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## Summary by CodeRabbit
- **New Features**
- Added optional waiting for index creation completion with configurable
timeout.
- Introduced methods to poll and wait for indices to be fully built
across sync and async tables.
- Extended index creation APIs to accept a wait timeout parameter.
- **Bug Fixes**
- Added a new timeout error variant for improved error reporting on
index operations.
- **Tests**
- Added tests covering successful index readiness waiting, timeout
scenarios, and missing index cases.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
This PR adds ColPali support with ColPaliEmbeddings class (tagged
"colpali") using ColQwen2.5 for multi-vector text/image embeddings. Also
added MultiVector Pydantic type to handle the vector lists.
I've added some integration test for the embedding model and some unit
test for the new Pydantic type. Could be a template for other ColPali
variants as well. or until transformers🤗 starts supporting it.
Still `TODO`:
- [ ] Documentation
- [ ] Add an example
_Could also allow Image as query, but didn't work well when testing it._
[ColPali-Engine](https://github.com/illuin-tech/colpali) version:
0.3.9.dev17+g3faee24
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced support for ColPali-based multimodal multi-vector
embeddings for both text and images.
- Added a new embedding class for generating multi-vector embeddings,
configurable for various model and processing options.
- Added a new Pydantic type for multi-vector embeddings, supporting
validation and schema generation for lists of fixed-dimension vectors.
- **Bug Fixes**
- Ensured proper asynchronous index creation in query tests for improved
reliability.
- **Tests**
- Added integration tests for ColPali embeddings, including
text-to-image search and validation of multi-vector fields.
- Added comprehensive tests for the new multi-vector Pydantic type,
covering schema, validation, and default value behavior.
- **Chores**
- Updated optional dependencies to include the ColPali engine.
- Added utility to check for availability of flash attention support.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added the ability to prewarm (load into memory) table indexes via new
methods in Python, Node.js, and Rust APIs, potentially reducing
cold-start query latency.
- **Bug Fixes**
- Ensured prewarming an index does not interfere with subsequent search
operations.
- **Tests**
- Introduced new test cases to verify full-text search index creation,
prewarming, and search functionalities in both Python and Node.js.
- **Chores**
- Updated dependencies for improved compatibility and performance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Lu Qiu <luqiujob@gmail.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Documentation**
- Updated the link in the documentation to correctly reference the
workflow file, ensuring accurate navigation from the current context.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: Guspan Tanadi <36249910+guspan-tanadi@users.noreply.github.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced full-text search capabilities with support for phrase
queries, fuzzy matching, boosting, and multi-column matching.
- Search methods now accept full-text query objects directly, improving
query flexibility and precision.
- Python and JavaScript SDKs updated to handle full-text queries
seamlessly, including async search support.
- **Tests**
- Added comprehensive tests covering fuzzy search, phrase search, and
boosted queries to ensure robust full-text search functionality.
- **Documentation**
- Updated query class documentation to reflect new constructor options
and removal of deprecated methods for clarity and simplicity.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
