如何在 NodeJS 中使用 Redis 执行向量相似度搜索

import {
  createClient,
  SchemaFieldTypes,
  VectorAlgorithms,
  RediSearchSchema,
} from 'redis';

const PRODUCTS_KEY_PREFIX = 'products';
const PRODUCTS_INDEX_KEY = 'idx:products';
const REDIS_URI = 'redis://localhost:6379';
let nodeRedisClient = null;

const getNodeRedisClient = async () => {
  if (!nodeRedisClient) {
    nodeRedisClient = createClient({ url: REDIS_URI });
    await nodeRedisClient.connect();
  }
  return nodeRedisClient;
};

const createRedisIndex = async () => {
  /*    (RAW COMMAND)
          FT.CREATE idx:products
          ON JSON
              PREFIX 1 "products:"
          SCHEMA
          "$.productDisplayName" as productDisplayName TEXT NOSTEM SORTABLE
          "$.brandName" as brandName TEXT NOSTEM SORTABLE
          "$.price" as price NUMERIC SORTABLE
          "$.masterCategory" as "masterCategory" TAG
          "$.subCategory" as subCategory TAG
          "$.productDescriptionEmbeddings" as productDescriptionEmbeddings VECTOR "FLAT" 10
                  "TYPE" FLOAT32
                  "DIM" 768
                  "DISTANCE_METRIC" "L2"
                  "INITIAL_CAP" 111
                  "BLOCK_SIZE"  111
          "$.productDescription" as productDescription TEXT NOSTEM SORTABLE
          "$.imageURL" as imageURL TEXT NOSTEM
          "$.productImageEmbeddings" as productImageEmbeddings VECTOR "HNSW" 8
                          "TYPE" FLOAT32
                          "DIM" 1024
                          "DISTANCE_METRIC" "COSINE"
                          "INITIAL_CAP" 111

      */
  const nodeRedisClient = await getNodeRedisClient();

  const schema: RediSearchSchema = {
    '$.productDisplayName': {
      type: SchemaFieldTypes.TEXT,
      NOSTEM: true,
      SORTABLE: true,
      AS: 'productDisplayName',
    },
    '$.brandName': {
      type: SchemaFieldTypes.TEXT,
      NOSTEM: true,
      SORTABLE: true,
      AS: 'brandName',
    },
    '$.price': {
      type: SchemaFieldTypes.NUMERIC,
      SORTABLE: true,
      AS: 'price',
    },
    '$.masterCategory': {
      type: SchemaFieldTypes.TAG,
      AS: 'masterCategory',
    },
    '$.subCategory': {
      type: SchemaFieldTypes.TAG,
      AS: 'subCategory',
    },
    '$.productDescriptionEmbeddings': {
      type: SchemaFieldTypes.VECTOR,
      TYPE: 'FLOAT32',
      ALGORITHM: VectorAlgorithms.FLAT,
      DIM: 768,
      DISTANCE_METRIC: 'L2',
      INITIAL_CAP: 111,
      BLOCK_SIZE: 111,
      AS: 'productDescriptionEmbeddings',
    },
    '$.productDescription': {
      type: SchemaFieldTypes.TEXT,
      NOSTEM: true,
      SORTABLE: true,
      AS: 'productDescription',
    },
    '$.imageURL': {
      type: SchemaFieldTypes.TEXT,
      NOSTEM: true,
      AS: 'imageURL',
    },
    '$.productImageEmbeddings': {
      type: SchemaFieldTypes.VECTOR,
      TYPE: 'FLOAT32',
      ALGORITHM: VectorAlgorithms.HNSW, //Hierarchical Navigable Small World graphs
      DIM: 1024,
      DISTANCE_METRIC: 'COSINE',
      INITIAL_CAP: 111,
      AS: 'productImageEmbeddings',
    },
  };
  console.log(`index ${PRODUCTS_INDEX_KEY} created`);

  try {
    await nodeRedisClient.ft.dropIndex(PRODUCTS_INDEX_KEY);
  } catch (indexErr) {
    console.error(indexErr);
  }
  await nodeRedisClient.ft.create(PRODUCTS_INDEX_KEY, schema, {
    ON: 'JSON',
    PREFIX: PRODUCTS_KEY_PREFIX,
  });
};