Hardware sized for RAM
A vector DB is RAM-bound — the HNSW index lives in memory for fast search. Enterprise NVMe for persistence with no performance loss.
Qdrant, Weaviate, Milvus or pgvector pre-installed on a Brazilian server with enterprise NVMe and generous RAM. Corporate RAG, semantic search, similarity recommendation — no per-vector cost, data in your environment.
Rollin Host hosted Vector DB is a managed server with Qdrant, Weaviate, Milvus, pgvector or ChromaDB preinstalled in a Brazilian Tier III datacenter, with AMD EPYC + NVMe + generous RAM for corporate RAG, semantic search and similarity recommendation. From R$ 259/month (up to ~1M vectors) to R$ 1,199/month (500M+ vectors), with a one-time R$ 259 setup, no per-vector cost, daily snapshot and 24/7 human support.
A vector DB is RAM-bound — the HNSW index lives in memory for fast search. Enterprise NVMe for persistence with no performance loss.
Qdrant (most popular for RAG), Weaviate (with GraphQL), Milvus (billions scale), pgvector (Postgres extension) or ChromaDB. You choose.
Pinecone charges per dimension × stored vector. Self-hosted: you pay for the server and index as much as you want. Predictable cost at volume.
Embeddings, payloads and metadata stay in your storage. No routing through third parties. LGPD compliant from day 1.
AMD EPYC hardware + NVMe + installation + maintenance. One-time setup of R$ 259 on every plan.
Up to ~1 million vectors
+ setup R$ 259 (one-time) · no lock-in
Up to ~50 million vectors
+ setup R$ 259 (one-time) · no lock-in
500 million+ vectors
+ setup R$ 259 (one-time) · no lock-in
Payment via Pix, bank slip or card (up to 12x). Above 500M vectors or special requirements (multi-zone HA, encrypted dataset, etc.) — quote on request.
Index your internal wiki (Notion, Confluence, GitBook), policies, technical docs. The agent answers with company context.
Replace keyword search (slow, frustrating) with semantic search over a product catalog, ticket base or FAQ.
"Similar products", "related articles", "similar candidates" — any recommendation by vector similarity.
Find duplicate leads in the CRM, plagiarized posts, similar images. Adjustable similarity threshold.
Open Claw and other always-on agents use a vector DB to "remember" past conversations and each user’s context.
Categorize tickets, emails, leads or content automatically by comparing with already-classified samples.
| Feature | Rollin Host | Pinecone | Weaviate Cloud | Qdrant Cloud |
|---|---|---|---|---|
| Billing | Fixed monthly (R$ 259-1,199) | Per vector + dimension | Per SLA tier | Per cluster + storage |
| Brazil datacenter | Yes (SP, Tier III) | No (US/EU) | No (US/EU) | No (US/EU) |
| Latency from BR | Low (<10ms) | High (~150ms) | High (~150ms) | High (~150ms) |
| LGPD compliant | Yes (data stays in BR) | Not native | Not native | Not native |
| Vendor lock-in | Zero (open export) | High (proprietary) | Medium | Low |
| BR billing | NF-e + PIX | USD | USD | USD |
| Human support | 24/7 | English only | English only | English only |
A database specialized in storing and searching vectors (embeddings) — numerical representations of text, image or audio generated by AI models. It enables semantic similarity search at scale (RAG, recommendation, classification).
From R$ 259/month (VDB Start, 16 GB RAM, up to ~1M vectors). VDB Pro at R$ 599/month (32 GB RAM, ~50M vectors) is the most popular. VDB Scale at R$ 1,199/month (64 GB RAM, 500M+ vectors). One-time R$ 259 setup on all plans. No lock-in, no per-vector cost.
You choose: Qdrant (most popular, great for RAG), Weaviate (with GraphQL and modules), Milvus (billions of vectors scale), pgvector (PostgreSQL with a vector extension) or ChromaDB. We install the latest stable version, optimally configured for your case.
Predictable cost (you pay for the server, not per stored vector), full data control (important for the LGPD), zero vendor lock-in (you can export and migrate whenever you want) and low latency (Brazilian server vs. Pinecone US).
Worth it from ~1 million vectors in production. At R$ 259/month (Start) you run up to 1M vectors with unlimited queries — on Pinecone serverless, that same volume with average traffic typically exceeds US$ 70/month (~R$ 350) and scales poorly with volume. For corporate RAG (LGPD), self-hosted is the only viable option.
Rule of thumb: 1M OpenAI vectors (1536 dim) consume ~6 GB of RAM. VDB Start (16 GB) covers up to 1-2M; Pro (32 GB) covers up to 50M with an HNSW index; Scale (64 GB) goes up to 500M+. When in doubt, talk to our team to size it case by case.
Yes, any embedding model. You generate the embeddings with whichever API you prefer (OpenAI, Cohere, Anthropic, Voyage, local BERT/MiniLM models) and store them in your vector DB. Search queries also use the model of your choice.
In 3 steps: 1) export the vectors from Pinecone (JSON/Parquet with IDs, embeddings and metadata), 2) pick the destination (Qdrant is closest to Pinecone in API), 3) bulk insert into the new server. A typical 10M-vector migration takes 1-2 hours. Our team handles assisted migration on demand.
Yes, an automatic daily snapshot with 7-day retention. Point-in-time restore on demand. Backup on a separate S3-compatible storage for geographic resilience.
Provisioning within 3 business days after approval: server setup, installation of the chosen vector DB, authentication and TLS configuration, monitoring dashboard and a 1h onboarding with your team.
Yes. Migration between tiers is done in an agreed window (usually 30-60 min of downtime). You pay proportional to usage and there is no penalty.
Yes — Rollin Serviços Digitais e Tecnologia LTDA is a Brazilian company with a Tier III datacenter in São Paulo, NF-e, billing in BRL and 24/7 human support. First Brazilian cloud specialized in AI, with products dedicated to LLM, GPU, vector DB and WhatsApp agents.
Comece em 5 minutos. Migração gratuita, suporte 24/7 em português e garantia de reembolso em 7 dias.
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