naver/splade

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1007 stars · 96 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SPLADE is a research library from NAVER for training, indexing, and retrieval with sparse neural search models based on BERT. It learns sparse query/document expansion representations that work with inverted indexes and includes evaluation on the BEIR benchmark.

Use cases

• train a sparse neural retrieval model
• index documents with SPLADE for first-stage ranking
• evaluate neural retrievers on BEIR
• learn sparse query and document expansion with BERT
• build a passage retrieval system with inverted indexes
• reproduce SPLADE v2 research results

When to choose

• you need interpretable sparse neural retrieval compatible with inverted indexes
• you want strong out-of-domain generalization on BEIR
• you are doing IR research on sparse expansion models

When to avoid

• you need a production-ready plug-and-play search engine
• you want dense vector retrieval or hybrid search out of the box
• you need active community support or frequent updates

Facets

library · maturity maintenance

search-engine machine-learning nlp rag machine-learning python sparse-retrieval bert passage-ranking inverted-index beir-benchmark neural-ir search natural-language-processing information-retrieval linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="naver/splade")