- Add overloads to Table.search, to preserve the return information
of different types of QueryBuilder objects for LanceTable
- Fix fts_column type annotation by including making it `Optional`
resolves#1550
---------
Co-authored-by: sayandip-dutta <sayandip.dutta@nevaehtech.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
* Adding a simple test facility, which allows you to mock a single
endpoint at a time with a closure.
* Implementing all the database-level endpoints
Table-level APIs will be done in a follow up PR.
---------
Co-authored-by: Weston Pace <weston.pace@gmail.com>
The `ratelimiter` package hasn't been updated in ages and is no longer
maintained. This PR removes the dependency on `ratelimiter` and replaces
it with a custom rate limiter implementation.
---------
Co-authored-by: Will Jones <willjones127@gmail.com>
The new V2 manifest path scheme makes discovering the latest version of
a table constant time on object stores, regardless of the number of
versions in the table. See benchmarks in the PR here:
https://github.com/lancedb/lance/pull/2798Closes#1583
first off, apologies for any folly since i'm new to contributing to
lancedb. this PR is the continuation of [a discord
thread](https://discord.com/channels/1030247538198061086/1030247538667827251/1278844345713299599):
## user story
here's the lance db search query i'd like to run:
```
def search(phrase):
logger.info(f'Searching for phrase: {phrase}')
phrase_embedding = get_embedding(phrase)
df = (table.search((phrase_embedding, phrase), query_type='hybrid')
.limit(10).to_list())
logger.info(f'Success search with row count: {len(df)}')
search('howdy (howdy)')
search('howdy(howdy)')
```
the second search fails due to `ValueError: Syntax Error: howdy(howdy)`
i saw on the
[docs](https://lancedb.github.io/lancedb/fts/#phrase-queries-vs-terms-queries)
that i can use `phrase_query()` to [enable a
flag](https://github.com/lancedb/lancedb/blob/main/python/python/lancedb/query.py#L790-L792)
to wrap the query in double quotes (as well as sanitize single quotes)
prior to sending the query to search. this works for [normal
FTS](https://lancedb.github.io/lancedb/fts/), but the command is
unavailable on [hybrid
search](https://lancedb.github.io/lancedb/hybrid_search/hybrid_search/).
## changes
i added `phrase_query()` function to `LanceHybridQueryBuilder` by
propagating the call down to its `self. _fts_query` object. i'm not too
familiar with the codebase and am not sure if this is the best way to
implement the functionality. feel free to riff on this PR or discard
## tests
```
(lancedb) JamesMPB:python james$ pwd
/Users/james/src/lancedb/python
(lancedb) JamesMPB:python james$ pytest python/tests/test_table.py
python/tests/test_table.py ....................................... [100%]
====================================================== 39 passed, 1 warning in 2.23s =======================================================
```
Though the markdown can be rendered well on GitHub (GFM style?), but it
seems that it's required to insert a blank line between a paragraph and
a list block to make it render well with `mkdocs`?
see also the web page:
https://lancedb.github.io/lancedb/concepts/index_hnsw/
Docs used `get_registry.get(...)` whereas what works is
`get_registry().get(...)`. Fixing the two instances I found. I tested
the open clip version by trying it locally in a Jupyter notebook.
- Both LinearCombination (the current default) and RRF are pretty fast
compared to model based rerankers. RRF is slightly faster.
- In our tests RRF has also been slightly more accurate.
This PR:
- Makes RRF the default reranker
- Removed duplicate docs for rerankers
Refine and improve the language clarity and quality across all example
pages in the documentation to ensure better understanding and
readability.
---------
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Currently, the only documented way of performing hybrid search is by
using embedding API and passing string queries that get automatically
embedded. There are use cases where users might like to pass vectors and
text manually instead.
This ticket contains more information and historical context -
https://github.com/lancedb/lancedb/issues/937
This breaks a undocumented pathway that allowed passing (vector, text)
tuple queries which was intended to be temporary, so this is marked as a
breaking change. For all practical purposes, this should not really
impact most users
### usage
```
results = table.search(query_type="hybrid")
.vector(vector_query)
.text(text_query)
.limit(5)
.to_pandas()
```
Before this we ignored the `fts_columns` parameter, and for now we
support to search on only one column, it could lead to an error if we
have multiple indexed columns for FTS
---------
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
This PR:
- Adds missing license headers
- Integrates with answerdotai Rerankers package
- Updates ColbertReranker to subclass answerdotai package. This is done
to keep backwards compatibility as some users might be used to importing
ColbertReranker directly
- Set `trust_remote_code` to ` True` by default in CrossEncoder and
sentence-transformer based rerankers
