Organizations Tagged with Embeddings for Semantic Search, Vector Search, and Recommendation Systems
Discover organizations that are tagged with embeddings and leverage machine learning embeddings for semantic search, similarity matching, personalized recommendations, and retrieval-augmented generation (RAG). This curated list of organizations shows real-world implementations, including stack details like embeddings models (sentence-transformers, OpenAI embeddings, Cohere), dimensionality and index types, and vector databases (FAISS, Milvus, Pinecone) to help you evaluate performance, cost, and integration complexity. Use the filtering UI to narrow results by model, vector DB, industry, or use case, compare code examples and benchmarks, and explore the list now to find organizations deploying embeddings effectively and accelerate your own vector-based ML initiatives.
