Models tagged "rag" - AI Models Search

Generate text query embeddings for dense retrieval and semantic search. Accepts an array of short query strings and retu...

text-embedding • semantic-search • retrieval • 7.5K runs

Rerank a list of candidate documents for a text query. Accepts a text query and a list of documents, and returns the top...

text-reranking • semantic-search • rag • 21 runs

Score relevance between text pairs for reranking search results and retrieval-augmented generation. Takes a JSON list of...

text-reranking • semantic-search • retrieval • 54.5K runs

Generates context-based answers from textual prompts, optimized for documentation retrieval and question answering. Fine...

📝 → 📝 • text-generation • question-answering • documentation • 78 runs

Re-rank documents and passages for retrieval using query–document pairs, returning relevance scores for each pair. Accep...

text-reranking • information-retrieval • rag • 25 runs

Score the relevance between query and passage text pairs for retrieval reranking. Accept a JSON string of one or more [q...

text-reranking • semantic-search • rag • 115 runs

Convert text into embeddings for semantic search and retrieval. Accepts a document string and optionally a query and a o...

text-embedding • semantic-search • 649 runs

Convert text to vector embeddings for semantic search, retrieval, clustering, and RAG. Accepts an array of texts and ret...

text-embedding • semantic-search • rag • 1.1M runs

Rerank passages for a text query. Takes a query and one or more candidate documents (text) and outputs a relevance score...

text-reranking • retrieval • rag • 63.2K runs

Convert text into 1024-dimensional embeddings for semantic search and retrieval. Takes a text prompt and returns a dense...

text-embedding • semantic-search • rag • 398.5K runs