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This topic has been translated from a Chinese forum by GPT and might contain errors.Original topic: Tidb有打算进军向量化数据库吗?
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username: 将臣17
Does TiDB plan to venture into vectorized databases? For example, text embedding search or image embedding search functionalities?
Is it feasible to use TiKV for storage, with an additional layer of business logic and a retrieval engine on top?
Mainly saw these features in Clickhouse, haha, now that the AI era has arrived, we can’t fall behind.
A vector database, simply put, is a database that focuses on distances, such as Euclidean distance, cosine similarity distance, etc. Relational databases are for human use, while vector databases are for AI use.
Similar to the domestic Milvus, of course, currently, ES and Redis also support vector search… In the AI field, it is mainly used to store embedding data.
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