Millions at Stake: How Melange's High-Recall Retrieval Prevents Litigation Collapse

What this post added

This post details Melange's successful migration to Pinecone for high-recall retrieval at massive scale (over 600M vectors) to support their patent litigation search business. It highlights the critical need for reliable, high-recall search in legal contexts and contrasts Pinecone's performance and operational simplicity with Melange's previous self-hosted Milvus cluster, which collapsed under memory pressure at scale. Key technical benefits emphasized include Pinecone's stable index structures, predictable query performance with growing dataset sizes, serverless design eliminating operational overhead, and a Parquet-based ingestion pipeline enabling fast iteration on new embedding models without downtime. Melange reports zero reliability issues since migrating and estimates significant TCO savings.