EmbedMax

Distributed scraping and semantic deduplication engine using Sentence Transformers and Atlas Vector Search

We study retrieval over catalogs of structured metadata, where each record is a small schema whose fields answer differe

This paper offers an in-depth analysis of non-sequential multimodal sentence-level embeddings, with a particular focus o

Similarity search is a primary application of embedding models trained by contrastive learning. For one of the most popu

Conversational information retrieval is challenging since it requires the consideration of the conversation history whic

While semantic embeddings are rigorously evaluated on the Massive Text Embedding Benchmark, the evaluation of style embe

A visual workspace for building and querying embeddings.

Chunk, embed, and query your documents with a vector store.

Retrieval and embedding infrastructure for developers.