Pinecone vs Qdrant

SpecialistWeb search API and crawler built for AI agents

SpecialistAI search and retrieval platform for modern apps and commerce

Search foundation built from embeddings, rerankers, and reader APIs

SpecialistVector-graph memory API designed for persistent AI agent context, offering higher-level agent memory features than Pinecone.

Free / Open-sourceLightning-fast search engine you can self-host or run in the cloud

Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus

Free / Open-sourceGraph database built on object storage for agent memory and context

SpecialistSQL-native vector database for production GenAI applications

The relevance engine with a built-in feedback loop

SpecialistManaged RAG API that handles end-to-end document ingestion and parsing, whereas Pinecone focuses purely on vector storage.

Serverless vector database purpose-built for AWS

SpecialistGraph, vector and text retrieval for AI agents on your Postgres