DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting retrieval costs 30% on complex tasks.

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search. However, for ...