VectorAI DB
PulseGate's liveness check found it on 14 Oct 2026; it has been in the index since 30 Jun 2026. How this is checked
VectorAI DB is a vector database designed for deploying AI applications in environments where cloud-based solutions are impractical or undesirable. The tool is positioned for use cases that require running AI agents and retrieval-augmented generation (RAG) pipelines locally, including on edge devices, on-premises servers, and in disconnected or air-gapped settings. Its architecture emphasizes portability and local-first operation, allowing users to maintain full control…
Inferred · not functionally tested
Overview
6 featuresPurpose: Enabling fast, secure, and scalable vector search and RAG for enterprise AI workloads without cloud dependency.
Inferred · not functionally tested
Audience: enterprise data teams
Inferred · not functionally tested
Functions: rag
Inferred · not functionally tested
Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: enterprise_only · license: Proprietary · platforms: WEB · deployment: browser, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: actian.com. These links do not verify the individual claims.
In the Databases (SQL, NoSQL, vector, graph) space, VectorAI DB takes a focused approach. Inferred · not functionally tested: It focuses on enabling fast, secure, and scalable vector search and RAG for enterprise AI workloads without cloud dependency. Inferred · not functionally tested: VectorAI DB is a B2B product aimed at enterprise data teams. Basis unknown · not verified: Pricing is enterprise-only. Basis unknown · not verified: It ships for the web.
Behind VectorAI DB is Actian, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are vector search, RAG support, and semantic search. The interface is available in 4 languages, including German, English, and Spanish. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Vector search
- RAG support
- Semantic search
- Edge deployment
- On-premises support
- Data observability
Topics: Inferred · not functionally tested
Built with & integrations
- WordPress
- /wp-content/ in the HTML · /wp-json/ in the HTML · /wp-includes/ in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about VectorAI DB
- What is VectorAI DB?
- Inferred · not functionally tested: VectorAI DB focuses on enabling fast, secure, and scalable vector search and RAG for enterprise AI workloads without cloud dependency. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
- Who should use VectorAI DB?
- Inferred · not functionally tested: VectorAI DB is a B2B product built for enterprise data teams.
- Is VectorAI DB free?
- Basis unknown · not verified: No — VectorAI DB is sold on an enterprise-only basis.
- What platforms does VectorAI DB run on?
- Basis unknown · not verified: VectorAI DB runs on the web.
- Is VectorAI DB still active?
- PulseGate's liveness check found it on 14 Oct 2026.
- What projects are similar to VectorAI DB?
- Similar projects tracked by PulseGate include VectorAI DB, vectora, and VectorDBZ.VectorAI DBvectoraVectorDBZ
- Who makes VectorAI DB?
- VectorAI DB is developed by Actian.
- How long has VectorAI DB been around?
- VectorAI DB first shipped in 2026.
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