Unlocking Intelligence in Your RAG Applications: The Secrets of Agentic Hybrid Search
If you are building a retrieval-augmented generation (RAG) application, you know how powerful they can be when they work well. But semantic embedding models are not magic. Most RAG implementations rely solely on semantic similarity as the unique retrieval mechanism, throwing every document into a vector database and applying the same retrieval logic to each … Read more