Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility.
As the Internet grew and evolved, unstructured data became more and more common, including emails, papers, IoT sensor data, Facebook photos, protein structures, and much more. In order for computers to understand and process unstructured data, these are converted into vectors using embedding techniques. Milvus stores and indexes these vectors. Milvus is able to analyze the correlation between two vectors by calculating their similarity distance. If the two embedding vectors are very similar, it means that the original data sources are similar as well. &nbsp; Millvus is capable of indexing vectors on a trillion scale. Unlike existing relational databases which mainly deal with structured data following a pre-defined pattern, Milvus is designed from the bottom-up to handle embedding vectors converted from unstructured data.
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Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility.



Milvus - An open-source vector database for embedding similarity search and AI applications

Arguflow is a truly all-in-one service for hosting AI powered semantic search and LLM retrieval-augmented generation (RAG) on your data.
Semantic search is the core feature. With traditional lexical search (google, duckduckgo, etc.) you search for a word or phrase and the search engine returns results that contain that word or phrase. With semantic search you search for a concept and the search engine returns results that contain that concept.
Arguflow creates embeddings for you, store them in a vector db, and coordinate metadata joins with a transactional db. It includes best in class API for data servicing and white-label UI's for semantic / full-text search and source-cited llm-chat. User can pick any SQL database compatible with diesel for &nbsp;OLTP storage and choose any vector database of their choice.
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Build AI powered semantic search and LLM retrieval-augmented generation (RAG) fast


Arguflow - Build AI powered semantic search and LLM retrieval-augmented generation (RAG) fast

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