| import { Form, Slider } from 'antd'; | |
| type FieldType = { | |
| similarity_threshold?: number; | |
| vector_similarity_weight?: number; | |
| }; | |
| interface IProps { | |
| isTooltipShown?: boolean; | |
| } | |
| const SimilaritySlider = ({ isTooltipShown = false }: IProps) => { | |
| return ( | |
| <> | |
| <Form.Item<FieldType> | |
| label="Similarity threshold" | |
| name={'similarity_threshold'} | |
| tooltip={isTooltipShown && `We use hybrid similarity score to evaluate distance between two lines of text. | |
| It\'s weighted keywords similarity and vector cosine similarity. | |
| If the similarity between query and chunk is less than this threshold, the chunk will be filtered out.` | |
| } | |
| initialValue={0.2} | |
| > | |
| <Slider max={1} step={0.01} /> | |
| </Form.Item> | |
| <Form.Item<FieldType> | |
| label="Vector similarity weight" | |
| name={'vector_similarity_weight'} | |
| initialValue={0.3} | |
| tooltip={isTooltipShown && `We use hybrid similarity score to evaluate distance between two lines of text. | |
| It\'s weighted keywords similarity and vector cosine similarity. | |
| The sum of both weights is 1.0. | |
| `} | |
| > | |
| <Slider max={1} step={0.01} /> | |
| </Form.Item> | |
| </> | |
| ); | |
| }; | |
| export default SimilaritySlider; | |