Scaling LLM Classification via Hallucination and Vector Search
Use LLMs to generate hypothetical categories and resolve them to a real taxonomy via vector similarity for cheaper, more scalable classification.
Information Retrieval
The science and engineering of searching, indexing, and retrieving relevant information from large collections, including dense retrieval, sparse methods, and hybrid approaches.
Reading List
Search as Code: The Programmable Future of Agentic Retrieval
Search as Code transforms search into a programmable SDK, enabling AI agents to build and execute custom, high-efficiency retrieval pipelines via code generation.
The Dimensional Ceiling of Single-Vector Embedding Retrieval
151
Embedding-based retrieval hits a hard top-k capacity ceiling set by embedding dimension, and real systems already run into it.