Coveo

Hybrid search service within Snowflake that combines vector search, keyword search, and semantic reranking for retrieval tasks on data stored in Snowflake tables.

Fully managed cloud-native vector database with a serverless offering, providing built-in hybrid search, metadata filtering, and enterprise-grade reliability. Designed as the primary choice for production AI applications at scale.

State-of-the-art foundational model for ranking with 4096 context length and multilingual support for 100+ languages. Offers exceptional performance on BEIR benchmarks and specialized domains including finance, e-commerce, and enterprise search.

A search architecture that combines dense vector embeddings (semantic search) with sparse representations like BM25 (lexical search) to achieve better overall search quality. The industry standard approach for production RAG systems in 2026.

Industry-first managed vector database deployable in any environment - cloud, on-premise, or edge. Kubernetes-native with complete data sovereignty while maintaining managed service convenience.

Mature, modular open-source Python framework for building production-grade RAG pipelines, AI agents, and semantic search systems, trusted by The European Commission and The Economist.