LangExtract + Milvus: A Practical Guide to Building a Hybrid Document Processing and Search System

This post introduces a practical guide for building a hybrid document processing and search system by integrating LangExtract with Milvus. It details the process of setting up a Milvus collection to store document text, vector embeddings, and structured metadata extracted by LangExtract. The post demonstrates how to define an extraction schema for LangExtract, provide examples for improved quality, and then use Milvus to store and query this hybrid data. It highlights the benefits of combining semantic search (via embeddings in Milvus) with precise filtering (via structured metadata extracted by LangExtract) for enhanced document retrieval.