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Using Your Vector Database as a JSON (Or Relational) Datastore
Milvus/Zilliz supports CRUD over "traditional" data formats such as JSON. This guide walks you through using a vectorstore to manage your vectorless data.
One last note before wrapping up - I've created a small Python package called milvusmongo that implements pymongo's most basic CRUD functionality across collections. Like pymongo, milvusmongo supports both dictionary and attribute-style access and abstracts away extra logic needed for CRUD calls (i.e. insert_one, update_one, and delete_one). More importantly, we're here to help accelerate the adoption of vector search as a technology - it's why open source is such a core part of our ethos.
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