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Example Of MilVus Collection
Examples Of MilVus Collection Table Of Contents: Example-1 Example-2 (1) Example-1 Step – 1: Import Require Libraries import json import pandas as pd from datasets import load_dataset from pymilvus.model.hybrid import BGEM3EmbeddingFunction from pymilvus import ( FieldSchema, CollectionSchema, DataType, Collection, AnnSearchRequest, RRFRanker, connections, ) Step – 2: Reading Input Data image_path = "F:\smartsearchmodelling\vector_files\Images.json" with open(image_path, ‘r’) as file: # Load JSON Into Python Dictionary. image_data = json.load(file) text_path = "F:\smartsearchmodelling\vector_files\Sample_Audio_v5.parquet" text_data = pd.read_parquet(text_path) required_columns = [‘exact_product_name’, ‘title’, ‘features’, ‘description’,’details’, ‘All_key_words_combined’] image_data = image_data textual_data = text_data[required_columns] textual_data["merged_text"] = str(textual_data["exact_product_name"]) + "n" + str(textual_data["title"]) + "n" + str(textual_data["features"]) + "n" + str(textual_data["description"])
