Vector Search
KNN Search
K-Nearest Neighbor search for finding similar vectors based on distance metrics
Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the retriever's capabilities before integrating it into your application.
Try KNN Search
Experiment with different inputs and parameters to see how this retriever works.
Input
Supported query types: text, embedding vector, number[]
5
70
Minimum confidence threshold for inclusion in results
Whether to include metadata in results
Type of distance metric to use (cosine, euclidean, dot_product)
Whether to use exact or approximate search
Results
No results yet
Configure the input parameters and click "Run Retriever" to see the search results.