Faster Retrieval for Better, More Efficient RAG
Improving the speed and efficiency of vector retrieval directly reduces latency and compute costs for large-scale RAG applications.
Reported by Apple ML Research ·
What happened
Apple ML Research published a post on accelerating maximum inner product search (MIPS) for retrieval-augmented generation (RAG) and recommendation systems. The work addresses the rising computational costs of searching through millions of high-dimensional candidate key vectors to find the best match for a query.
Who it’s about
- Apple
Source
Apple ML Research
Faster Retrieval for Better, More Efficient RAG
More on research
Get a brief picked for you
Sign in to follow topics and companies, save stories and search the archive.
Sign in