Teams building on ManyVector.
Engineering teams across industries use ManyVector for RAG pipelines, semantic search, recommendations, and AI agent memory — all at object-storage prices with full data sovereignty.
40%
RAG pipelines
of customers use ManyVector as their primary RAG retrieval layer
30%
Semantic search
power customer-facing search with ManyVector
20%
Recommendations
run product and content recommendation pipelines
10%
Agent memory
use ManyVector for persistent AI agent memory
From engineers who switched to ManyVector.
“We moved from Pinecone to ManyVector and cut our vector storage costs by 10×. The object store architecture means we pay for what we actually query — not for idle RAM.”
Platform Lead
AI-first startup
“Namespace branching solved a problem we'd been workarounding for months. We can now A/B test embedding models in production without any maintenance window or data duplication.”
Staff Engineer
Series B SaaS company
“ManyVector's hybrid search gave us a 15% recall improvement over pure vector search on our internal knowledge base. The RRF fusion handles exact product names and semantic queries equally well.”
AI Infrastructure Lead
Enterprise software company
“We needed data sovereignty — our legal team wouldn't approve any solution that stored vectors outside our AWS account. ManyVector was the only vector database that met that requirement out of the box.”
Head of Engineering
Fintech startup
ManyVector in production across sectors.
SaaS & Developer Tools
RAG-powered documentation search, semantic issue triage, code search across large codebases.
Financial Services
Regulatory document retrieval, investment research search, compliance knowledge bases. Full data sovereignty required.
E-commerce & Retail
Product semantic search, personalized recommendations, catalog duplicate detection at scale.
Healthcare & Life Sciences
Clinical literature retrieval, drug discovery search, patient record similarity. Air-gapped deployment available.
Media & Entertainment
Content recommendation engines, rights management search, semantic tagging across video and audio libraries.
Enterprise Software
Internal knowledge base search, support ticket routing, CRM semantic enrichment pipelines.
We're working with early customers to publish detailed case studies. In the meantime, talk to us about your use case — we'll introduce you to teams with similar workloads.
Talk to us