Timescale PRISM: Run 100M Vectors on 1/4th Postgres RAM
Timescale pg_vectorsearch and PRISM replace HNSW graphs with RaBitQ-quantized partitions, serving 100M vectors at 21ms on 128GB RAM with 51x faster builds.
Devika Ranganathan Editorial profile
EyesTech Context & Retrieval Desk, analyzing vector database architectures, dense retrieval pipelines, and long-context needle-in-haystack dynamics. Editorial Standards: https://eyestech.in/editorial-policy/
Why Can a Long Prompt Stall Active LLM Generation?
A vLLM report shows decode speed dropping to 0.5–5 tok/s during long prefills. Learn what the data proves, what it does not, and how to diagnose it.
OpenAI’s “o” Leak: What Dots Now Confirms
OpenAI announced Dots on September 29. Its documented goals, app access and approval rules replace earlier speculation about filters and biometric controls.
Vector Indexing at Scale: HNSW vs. IVF-PQ in 100M-Vector Repositories
An empirical systems audit of HNSW vs. IVF-PQ indexing across 100 million 1536-dimensional vectors. Benchmarking Qdrant, OpenSearch, Milvus, and Faiss on RAM footprint, Recall@10, QPS throughput, and NVMe disk-spilling economics.