VectorAI DB
PulseGate's liveness check found it on 14 Oct 2026; it has been in the index since 13 Jul 2026. How this is checked
VectorAI DB is an enterprise-grade vector database designed for edge and on-premises deployments. It enables organizations to run retrieval-augmented generation (RAG) and semantic search on their own infrastructure, ensuring data privacy and compliance. The platform integrates with AI and knowledge graph tools, making it suitable for enterprise data teams seeking advanced analytics and secure data management.
Inferred · not functionally tested
Overview
6 featuresPurpose: Enabling enterprises to perform RAG and semantic search on their data without relying on cloud services or exposing sensitive information.
Inferred · not functionally tested
Audience: enterprise data teams
Inferred · not functionally tested
Functions: rag, analytics
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · 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.
VectorAI DB sits in PulseGate's Databases (SQL, NoSQL, vector, graph) category. Inferred · not functionally tested: It focuses on enabling enterprises to perform RAG and semantic search on their data without relying on cloud services or exposing sensitive information. Inferred · not functionally tested: VectorAI DB is a B2B product aimed at enterprise data teams. Basis unknown · not verified: VectorAI DB is sold on an enterprise-only basis. Basis unknown · not verified: It runs on the web.
It is developed by Actian (Germany), and it first shipped in 2024. Inferred · not functionally tested: Among its 6 catalogued features are vector search, semantic search, and on-premises deployment. The interface is available in 4 languages, including German, English, and Spanish. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Vector search
- Semantic search
- On-premises deployment
- Edge support
- Data catalog
- AI integration
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
1What PulseGate has recorded for this listing
Frequently asked questions about VectorAI DB
- What does VectorAI DB do?
- Inferred · not functionally tested: VectorAI DB focuses on enabling enterprises to perform RAG and semantic search on their data without relying on cloud services or exposing sensitive information. 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 are alternatives to VectorAI DB?
- Similar projects tracked by PulseGate include VectorAI DB, vectora, and VectorDBZ.VectorAI DBvectoraVectorDBZ
- Who develops VectorAI DB?
- VectorAI DB is developed by Actian, based in Germany.
- When did VectorAI DB launch?
- VectorAI DB first shipped in 2024.
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