Combining the advanced vector database capabilities of Weaviate with the storage solutions of MinIO empowers users to unlock the full potential of their data.
Weaviate is a pioneering, open-source vector database, designed to enhance semantic search through the utilization of machine learning models. Unlike traditional search engines that rely on keyword matching, Weaviate employs semantic similarity principles. This innovative approach transforms various forms of data into vector representations, numerical forms that capture the essence of the data’s context and meaning.
backup-s3 PERSISTENCE_DATA_PATH CLUSTER_NAME : Notable environment variables include : 'backup-s3' : create Populating the Schema: Indexing Data With our schema in place, the next step involves populating it with actual data. Using another curl command, we index our data.json into the schema. curl -X POST -H "Content-Type: application/json" --data @data.json http://localhost:8080/v1/objects
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