Vector DBs & RAG

Enterprise search & knowledge discovery solution for modern teams

Redis is an in-memory data store used as a vector database, semantic cache and memory layer for AI and agent applications.

Neo4j is a graph database that powers knowledge graphs and GraphRAG so AI apps can ground answers in connected, verifiable relationships.

Serverless vector and full-text search built on object storage — powers Cursor, Notion AI, Linear, Superhuman. 95% cost reduction vs traditional vector DBs.

Open-source vector database for storing data objects and vector embeddings

Open-source vector database and search engine.

Pinecone: Transforming Vector Search for Enhanced Data Retrieval

MongoDB Atlas Vector Search adds semantic vector search to your database for RAG and AI agents.

AI-native multimodal lakehouse and serverless vector DB — embedded retrieval for production-scale generative AI, open source, YC-backed.

High-performance, cloud-native open-source vector database for scalable ANN search — built by Zilliz, Apache 2.0, the most-deployed OSS vector DB in production.

Scalable distributed vector search engine

Multimodal vector search engine for unstructured data

AI for enterprise search and document processing.

AI-native open-source embedding database for efficient data handling.

Open-source vector search engine for large-scale AI applications