Add Superlinked embedding integration page#211
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Hi @fm1320 , thanks for the contribution! Will take a look and get back to you with feedback when your draft is ready for review. |
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Hi @prrao87 , should be ready now :) |
Adds a docs page for Superlinked (SIE), a self-hosted inference engine
for embedding, reranking, and extraction. The sie-lancedb package
registers SIE as a first-class embedding function in LanceDB's registry
("sie" and "sie-multivector"), supports 85+ models, provides a
SIEReranker for hybrid search, and an SIEExtractor for entity extraction
via enrich_table() with native MultiVector/ColBERT support.
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Hi @prrao87 did you have a chance to look at the integration ? |
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Summary
Adds a docs page for Superlinked (SIE), a self-hosted inference engine for embedding, reranking, and extraction. The
sie-lancedbpackage registers SIE as a first-class embedding function in LanceDB's registry, so embeddings are computed automatically on insert and search.Files added
docs/integrations/embedding/superlinked.mdxPage follows the same Mintlify format as existing pages in the directory (Cohere, Jina, OpenAI, Voyage, etc.).
Highlights
"sie"registered embedding function for dense and sparse vectors (85+ supported models: Stella, Nomic, E5, BGE-M3, etc.)"sie-multivector"registered embedding function for ColBERT-style late interaction with MaxSim scoringSIERerankerfor hybrid-search cross-encoder rerankingSIEExtractorfor zero-shot entity / relation / classification extraction stored as Arrow structssie-lancedb) and TypeScript (@superlinked/sie-lancedb) packagesLinks
Note: the page may also need to be added to
docs.jsonnavigation — happy to follow up once reviewers confirm the intended sidebar position. Opened as draft for feedback.