Prompt Content
Implement the data ingestion pipeline using Python. This pipeline should take mock news articles, market data, and geopolitical summaries, process them into suitable chunks, generate Cohere embeddings, and store them efficiently in Milvus. Provide code snippets for data preprocessing, embedding generation, and Milvus insertion, ensuring proper indexing for semantic search. Demonstrate how new information would be incrementally added to the vector database.
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