Marqo handles embedding generation and vector search together, so you send text or images and it does the rest — no separate embedding step.
| Category | Vector database |
| Type | Vector search engine |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Beginner |
| Best for | teams who do not want to manage embeddings |
Other open-source vector database tools worth comparing:
QdrantFast Rust-based vector search
WeaviateVector DB with built-in modules
MilvusBillion-scale vector database
ChromaThe simplest embedding DB for prototyping
pgvectorVector search inside PostgreSQL
LanceDBServerless vector DB for AI
FAISSThe reference library for similarity search
VespaBig-scale hybrid search and ranking platform
pgvectorscaleMake pgvector fast at scale
USearchTiny, extremely fast vector indexMarqo is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. Marqo is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Qdrant, Weaviate, Milvus. See the comparisons above to choose.
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