Daulet Amirkhanov
Guest Author
Daulet Amirkhanov is a software engineer at UseBead, an a16z-backed startup building autonomous agent infrastructure for compliance audits.
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. 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.