Hybrid Search

Managed search service for applications and agents with natural language queries.

RAG-based knowledge base with vector search, full-text search, hybrid retrieval, and multimodal image search.

Open-source search engine with full-text, semantic, hybrid search, vector support, and real-time indexing.

AI-powered hybrid search combining keyword precision with semantic understanding.

Full-text search service built into MongoDB Atlas with unified API, native reranking, and independent scaling.

Vector search, hybrid search, and generative AI capabilities on operational data in MongoDB Atlas.

NVIDIA RAG Blueprint is a reference architecture for building retrieval-augmented generation applications, with deployment options for Docker, Kubernetes, and Python.

Managed vector database for AI applications with integrated embedding, search, and reranking.

Serverless vector and document index for semantic, lexical, and full-text search with automatic metadata filtering.

SQLite extension for AI functions: LLM loading, embeddings, chat, vision, audio, and samplers.

SQLite extension providing semantic memory with hybrid search.

Open source toolkit for AI applications using Postgres and pgvector to store, index, and query vector embeddings at scale.

Open-source typo-tolerant search engine for building fast, relevant search experiences.