To use this feature, you add the autocut parameter to your GraphQL query within the search operator:
As news of Weaviate's success with Investcorp spread, other companies began to take notice. Soon, Weaviate was flooded with requests from various industries, all seeking to harness the power of Autocut. weaviate autocut
autocut: 2 : Returns the first two groups, including the results after the first jump but stopping before the second. Practical Example To use this feature, you add the autocut
The Weaviate team worked tirelessly to meet the demand, refining Autocut and expanding its capabilities. With each new implementation, Autocut became more sophisticated, adapting to the unique needs of each industry. Practical Example The Weaviate team worked tirelessly to
Elara decided to break protocol. She injected the parameter into a live query for “hull breach probability.” She watched the vector-space unfold on her monitor—a nebula of green points, each a piece of data. Normally, the search would draw a rigid sphere around the query point, cutting off abruptly at a fixed radius. It was clumsy. It either cut too soon, missing vital data, or too late, drowning in irrelevance.
Weaviate Autocut represents a valuable feature for developers and organizations looking to leverage vector search technology efficiently. By optimizing query performance and enabling the handling of large-scale datasets, Autocut enhances the utility and appeal of Weaviate as a solution for a wide range of similarity search applications.