Index
Store vectors and metadata into a vector database for retrieval.
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Learn More about Indexing on Weaviate (opens in a new tab)
Input Parameters
- Vector DB: Choose vector database to be indexed
- Vectors: Represents the actual vector data to be indexed in the database
- Metadata: Additional information associated with each vector to enhance search and retrieval
- Primary Keys (JSON): Unique identifiers for each vector, formatted in JSON
- Duplication Records: Manages and records any duplicate vectors to ensure data integrity
- Embedding Model Name: Choose model to embed data as vectors
- Callback Webhook URL: URL to be called back with the status or result of the indexing process
Expected Output
Vector database populated with these vectors
Example Use Case
In this example workflow, vectorized recipe data is indexed and the vectordatabase titled "Recipes" is populated.
