sesamo-srl/bge-reranker-v2-m3
Re-rank queryβcandidate text pairs for search and RAG by returning a relevance score per pair. Takes a JSON-encoded list...
Found 6 models (showing 1-6)
Re-rank queryβcandidate text pairs for search and RAG by returning a relevance score per pair. Takes a JSON-encoded list...
Perform retrieval-augmented generation (RAG) over detailed web search results to generate accurate and well-cited summar...
Re-rank text passages by scoring the relevance of text pairs. Accepts a JSON array of [query, document] string pairs and...
Rerank text passages for a query by scoring text pairs and returning relevance scores. Accept a JSON list of (query, doc...
Answer questions from a text input using Knowledge Infused Decoding (KID). Inject Wikipedia knowledge at each decoding s...
Convert text into dense vector embeddings for semantic search and retrieval. Generate sentence and paragraph embeddings...