For years, enterprise retrieval systems have relied on embeddings and vector databases as their foundation. Whether building semantic search, RAG-based pipelines, or agentic workflows, the approach remained consistent: chunk text, encode with transformers, store in vector indexes, and retrieve via … Read More
