information-retrieval AI Models

Calculates relevance and similarity scores between text pairs. Takes JSON-formatted input containing query-passage pairs...

text-embedding • 124 runs

Reranks query-document pairs by computing relevance scores between questions and answers. Takes JSON input containing tu...

text-embedding • 371.0K runs

Reranks pairs of text queries and documents based on their relevance scores using the BGE reranker large model. Takes JS...

📝 → 📝 • text-embedding • text-generation • 25 runs

Perform retrieval-augmented generation (RAG) over detailed web search results to generate accurate and well-cited summar...

📝 → 📝 • retrieval-augmented-generation • text-generation • question-answering • 38 runs

Generate text embeddings for semantic search, information retrieval, similarity, and reranking. Accepts English text (si...

text-embedding • semantic-search • information-retrieval • 37 runs

Ranks and scores query-document pairs using BAAI's newest balance-striking reranker model. Takes JSON input containing q...

text-embedding • document-ranking • information-retrieval • 64.1K runs

Reranks pairs of text inputs by computing relevance scores between them. Takes JSON-formatted text pairs as input and re...

text-embedding • 288 runs

Reranks documents based on their relevance to a search query. Takes a query string and a list of documents as input, the...

text-embedding • document-ranking • 27 runs

Reranks text pairs by computing relevance scores between query-document pairs. Takes JSON input containing pairs of text...

text-embedding • 8.1K runs

Reranks search results by scoring query-document pairs for improved retrieval accuracy in RAG pipelines. Uses a cross-en...

📝 → 📝 • text-embedding • text-generation • 15 runs