Write, review, debug, and document LanceDB pipelines in Python and TypeScript that work across local LanceDB OSS tables and remote LanceDB Enterprise tables, with idiomatic query/search patterns and performance defaults for ingestion, indexing, filtering, and diagnostics.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “LanceDB” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 1
- LanceDB
Build LanceDB pipelines in Python and TypeScript
Things to ask
- “Create a LanceDB table, add sample data, use a model to build embeddings, and run a vector search. Show the table and results.”
- “Build all the indexes this table will need to make search fast.”
- “Run an experiment using 3 different embedding models in different branches.”
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