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| // \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \ | |
| // \ V V / __/ (_| |\ V /| | (_| | || __/ | |
| // \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___| | |
| // | |
| // Copyright © 2016 - 2024 Weaviate B.V. All rights reserved. | |
| // | |
| // CONTACT: [email protected] | |
| // | |
| // Package descriptions provides the descriptions as used by the graphql endpoint for Weaviate | |
| package descriptions | |
| const ( | |
| LocalExplore = "Explore Concepts on a local weaviate with vector-aided search" | |
| LocalExploreConcepts = "Explore Concepts on a local weaviate with vector-aided serach through keyword-based search terms" | |
| VectorMovement = "Move your search term closer to or further away from another vector described by keywords" | |
| Keywords = "Keywords are a list of search terms. Array type, e.g. [\"keyword 1\", \"keyword 2\"]" | |
| Network = "Set to true, if the exploration should include remote peers" | |
| Limit = "Limit the results set (usually fewer results mean faster queries)" | |
| Offset = "Offset of the results set (usually fewer results mean faster queries)" | |
| Certainty = "Normalized Distance between the result item and the search vector. Normalized to be between 0 (identical vectors) and 1 (perfect opposite)." | |
| Distance = "The required degree of similarity between an object's characteristics and the provided filter values" | |
| Vector = "Target vector to be used in kNN search" | |
| Force = "The force to apply for a particular movements. Must be between 0 and 1 where 0 is equivalent to no movement and 1 is equivalent to largest movement possible" | |
| ClassName = "Name of the Class" | |
| ID = "Concept identifier in the uuid format" | |
| Beacon = "Concept identifier in the beacon format, such as weaviate://<hostname>/<kind>/id" | |
| ) | |