Devika Ranganathan - Eyestech

Devika Ranganathan

Staff Context Architecture & RAG Researcher at Eyestech. Chennai-based distributed systems engineer (IIT Madras alumni). Researches long-context KV-cache memory structures, hierarchical context compaction, and vector retrieval economics.

Vector Indexing at Scale: HNSW vs. IVF-PQ in 100M-Vector Repositories

Vector Indexing at Scale: HNSW vs. IVF-PQ in 100M-Vector Repositories

By Devika Ranganathan September 10, 2026

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.

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