Initially, I used it with software support and related products. Personally, I installed it locally on Docker containers for testing. I used it for data storage and search queries, mainly for sharing data across different selections. I used Milvus to create datasets, each with different scenarios or purposes.
Data Scientist at a tech services company with 1,001-5,000 employees
Real User
Top 5
Apr 29, 2024
Milvus is primarily used in RAG, which involves retrieving relevant documents or data to augment the generation of new content. Milvus helps convert text and other data into a vector space, and the embeddings of this data are stored in the database. When a query is made, Milvus matches the query against the vector space to retrieve the most relevant vectors. For example, if we ask Milvus to retrieve the four best-matching vectors, it will provide those vectors. These vectors can then be decoded or reconverted into text, which can be further processed or used for generating new content.
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Initially, I used it with software support and related products. Personally, I installed it locally on Docker containers for testing. I used it for data storage and search queries, mainly for sharing data across different selections. I used Milvus to create datasets, each with different scenarios or purposes.
Milvus is primarily used in RAG, which involves retrieving relevant documents or data to augment the generation of new content. Milvus helps convert text and other data into a vector space, and the embeddings of this data are stored in the database. When a query is made, Milvus matches the query against the vector space to retrieve the most relevant vectors. For example, if we ask Milvus to retrieve the four best-matching vectors, it will provide those vectors. These vectors can then be decoded or reconverted into text, which can be further processed or used for generating new content.
We use Milvus mostly for RAG (Retrieval-augmented generation).
I use Milvus mostly for text processing and natural language processing.