Open SourceRAG5k
Marqo
End-to-end vector search engine with built-in embedding generation.
Marqo is an open-source, end-to-end vector search engine that handles embedding inference and storage in one system, so you index raw text and images rather than precomputed vectors. It supports multimodal search, tensor-based retrieval, and horizontal scaling, removing the need to wire a separate embedding pipeline in front of a bare vector store. It is notable for turning the whole 'embed then store then query' pipeline into a single API.
Repository
marqo-ai/marqoLanguage
PythonWhat you'd build with it
- Standing up text and image semantic search without managing a separate embedding model and inference service
- Powering multimodal RAG retrieval where queries and documents can be text or images
- Replacing a hand-rolled embed-and-index pipeline with one deployable search service
Tags
vector-searchmultimodalembeddings