War Story: We Replaced Pinecone 1.5 with Milvus 2.4 and Reduced Our Vector DB Co

<!-- SC_OFF --><div class="md"><p>Hi Reddit, we are a team of database researchers (including a PhD from MIT DB Group) and we just open-sourced an embedded vector database for

<p>In 2024, 72% of RAG pipelines fail production due to vector database misconfiguration, costing teams an average of $42k in wasted compute and rework. After benchmarking 4

<p>I have helped a number of teams pick a vector database in the last year. The conversation always starts the same way: four logos, one Slack message, one question — which

<p>If you've built a RAG pipeline before, you know the pattern: hook up an embedding model, dump vectors into Pinecone, and forget about it until the invoice shows up. That

<p>In Q3 2024, our 12-person platform team slashed log ingestion spend by 35% in 90 days, moving from a brittle Elasticsearch-based pipeline to a tuned Vector 0.30 and Loki 3.0