Changes:
* Refactors the Node module to load the shared library from a separate
package. When a user does `npm install vectordb`, the correct optional
dependency is automatically downloaded by npm.
* Brings Rust and Node versions in alignment at 0.1.2.
* Add scripts and instructions to build Linux and MacOS node artifacts
locally.
* Add instructions for publishing the npm module and crates.
pypi does not allow packages to be uploaded that has a direct reference
for now we'll just ask the user to install tantivy separately
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Co-authored-by: Chang She <chang@lancedb.com>
This is v1 of integrating full text search index into LanceDB.
# API
The query API is roughly the same as before, except if the input is text
instead of a vector we assume that its fts search.
## Example
If `table` is a LanceDB LanceTable, then:
Build index: `table.create_fts_index("text")`
Query: `df = table.search("puppy").limit(10).select(["text"]).to_df()`
# Implementation
Here we use the tantivy-py package to build the index. We then use the
row id's as the full-text-search index's doc id then we just do a Take
operation to fetch the rows.
# Limitations
1. don't support incremental row appends yet. New data won't show up in
search
2. local filesystem only
3. requires building tantivy explicitly
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Co-authored-by: Chang She <chang@lancedb.com>
