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Adds a sample application in
use-cases/llm-vector-langchaindemonstrating real-time document ingestion with Dozer and semantic vector similarity search using LangChain and ChromaDB. The pipeline streams knowledge base articles from PostgreSQL through Dozer's gRPC endpoints (articlesandpriority_articles) into a Python consumer that indexes vector embeddings and answers natural-language queries with source citations. Includes a unit test suite intests/test_qa_pipeline.pycovering gRPC record parsing, incremental indexing/deletion, and retrieval-augmented question answering.Fixes #1690
/claim #1690