retrieval-augmented-generation AI Models

🤖 Model

sesamo-srl/bge-reranker-v2-m3

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

text-embedding • 371.0K runs

🤖 Model 📝 → 📝

tomasmcm/sensei-7b-v1

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

🤖 Model

ninehills/bge-reranker-large

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

text-embedding • 288 runs

🤖 Model 📝 → 📝

fakturi/bge-reranker-large

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

🤖 Model 📝 → 📝

microsoft/kid

Generate text responses to questions using Knowledge Infused Decoding (KID), which incorporates Wikipedia knowledge into...

📝 → 📝 • text-generation • question-answering • 276 runs

🤖 Model

cuuupid/gte-qwen2-7b-instruct

Convert text into dense vector embeddings for semantic search and retrieval. Generate sentence and paragraph embeddings...

text-embedding • semantic-search • retrieval-augmented-generation • 1.1M runs