4 papers
Semantics Delivery Network: Rethinking Web Retrieval Infrastructure for LLM Agents
Peichun Hua, Yunming Xiao
Large language models (LLMs) increasingly ground their answers in proprietary data and live web content through both single-shot retrieval-augmented generation (RAG) and multi-turn…
Matryoshka Hash Representations for Model-Aware Compact Semantic Retrieval
Peichun Hua, Yunming Xiao
Retrieval-augmented generation (RAG) depends on dense retrieval: each document is stored as a learned vector, and queries are answered by nearest-neighbor search. Keeping one full-…
Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings
Peichun Hua, Yunming Xiao
Retrieval-Augmented Generation (RAG) has made dense retrieval over large document collections a standard building block. Organizations increasingly outsource vector indexes to untr…
Pointing the Way, Hiding the Destination: Practical Private Dense Retrieval at Scale
Peichun Hua, Danyang Chen, Junan Zhang +5
Hosted retrieval-augmented generation (RAG) and semantic search allow users to query valuable provider-held corpora, raising two competing demands: to hide each query and chosen re…