War Story: We Replaced Pinecone 1.5 with Milvus 2.4 and Reduced Our Vector DB Cost by 49%
A company successfully migrated from Pinecone 1.5 to Milvus 2.4, resulting in significant cost savings. Their monthly expenses for vector database services decreased by 49%, while latency improved dramatically. The transition was completed without any downtime or data loss.
- ▪The monthly bill for Pinecone 1.5 reached $42,000, which was 72% over budget.
- ▪After switching to Milvus 2.4, the monthly cost dropped to $21,420 with a p99 latency of 112ms.
- ▪Milvus 2.4's architecture supports 10x higher queries per second per node compared to Pinecone 1.5.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV Community |
| Canonical URL | https://dev.to/johalputt/war-story-we-replaced-pinecone-15-with-milvus-24-and-reduced-our-vector-db-cost-by-49-1iee |
| Publication time | Tue, 28 Apr 2026 09:02:59 +0000 |
| Retrieval time | 2026-04-28T09:25:06.520Z |
| Last seen | 2026-04-28T09:25:06.520Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | ugVFiTJbTWGL |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 28 • Originally published at johal.in War Story: We Replaced Pinecone 1.5 with Milvus 2.4 and Reduced Our Vector DB Cost by 49% #story #replaced #pinecone #milvus \n At 3:17 AM on a Tuesday, our Pinecone 1.5 bill hit $42,000 for the month – 72% over budget, with p99 vector search latency spiking to 3.8 seconds during peak traffic.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV Community.
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