Why Open Dimension Recommends Antarys for AI Chatbot Platforms
How faster vector search performance can reduce costs and improve chatbot response times for AI platforms building on semantic search.
Why Open Dimension Recommends Antarys for AI Chatbot Platforms
How faster vector search can significantly improve chatbot response times and potentially reduce operational costs.

About Open Dimension
Open Dimension AI (opendimension.ai) is a Bangladesh-based AI solutions company with the motto "Building Cutting-Edge AI Solutions and Software Services to Transform Business Operations."
Their platform helps businesses build intelligent chatbots trained on company data, automate workflows with visual builders, and integrate with 50+ tools including Intercom, Zendesk, LiveChat, Slack, WhatsApp, and Microsoft Teams.
Location: 10th Floor, JCX Business Tower, Japan Street, Bashundhara R/A, Dhaka 1229, Bangladesh
What Open Dimension Builds
Customer Support Automation
AI agents that resolve issues completely and handle 80% of support tickets automatically while learning from every interaction.
Internal Operations
Orchestrate employee onboarding, compliance tracking, and manual processes with visual workflow builders requiring no coding.
Sales Automation
AI agents work 24/7 to identify, qualify, and nurture prospects—booking meetings directly with decision makers.
Multi-Channel Deployment
Launch AI agents across all channels with one click. They work wherever your customers are.
Platform Capabilities
- 100+ pre-built data connectors with real-time sync
- Visual workflow builder (no coding required)
- Hallucination-proof answers with citations from verified sources
- Action Layer that executes tasks, not just answers questions
- Real-time analytics to track interactions and measure ROI
Quick Setup: Customers can have their first AI chatbot running in under 10 minutes—simply sign up, connect data sources, and deploy.
The Vector Search Challenge
Open Dimension's chatbot platform relies heavily on semantic search. Every customer question triggers multiple searches:
- Search through company documentation and policies
- Look up similar past conversations
- Find relevant resolved tickets
- Retrieve conversation context
This happens continuously across hundreds of concurrent conversations, making vector search performance critical to the platform's responsiveness.
Current Status: Open Dimension doesn't currently use Antarys because Antarys doesn't offer cloud hosting yet. They recommend it based on the performance improvements they've identified for platforms with similar needs.
Why Open Dimension Recommends Antarys
Performance Impact on User Experience
The primary reason for their recommendation: faster vector search directly translates to more responsive chatbots.
When a customer asks a question, the chatbot needs to search through knowledge bases, past conversations, and historical tickets. Each search adds latency:
- Slower vector searches (150ms each): 3 searches = 450ms of wait time
- Faster vector searches (15ms each): 3 searches = 45ms of wait time
The difference: 400+ milliseconds might seem small, but across thousands of daily conversations, it determines whether chatbots feel instant or sluggish.
Compounding Effect: For a platform handling 5,000 conversations per day with 3 vector searches each, performance improvements affect 15,000 operations daily.
Potential Cost Benefits
Open Dimension acknowledges that better vector search performance could impact operational costs:
Possible advantages:
- More efficient resource utilization
- Ability to handle more concurrent users on existing infrastructure
- Reduced need for additional compute resources as platform scales
- More predictable costs with self-hosted infrastructure
These are assumptions based on how performance typically impacts cloud costs—exact savings would depend on specific usage patterns.
Why Antarys Specifically
Open Dimension recommends Antarys for three reasons:
1. Self-Hosting Capability
Once Antarys offers cloud hosting (or for teams that can self-host now), it provides:
- Data stays within company infrastructure
- No per-query pricing models
- Full control over deployment
- Better for data residency requirements
2. Integrated Workflow
Antarys handles both embedding generation and storage in one system. This simplifies architecture—no need to coordinate between separate vectorization services and storage systems.
3. Performance for Real-Time Applications
Fast vector search is essential for chatbot platforms where:
- Customers expect instant responses
- Multiple searches happen per interaction
- Hundreds of concurrent conversations run simultaneously
- Every millisecond affects user experience
Where Performance Matters Most
Knowledge Base Retrieval
Every customer question requires searching through documentation. Faster searches mean more responsive chatbots and better customer satisfaction.
Learning from Past Interactions
The platform learns from every resolved ticket by searching through thousands of historical conversations. Better performance allows checking more historical data without slowing responses.
Multi-Channel Consistency
Chatbots deployed across Slack, WhatsApp, Teams, and web all query the same knowledge base. Performance matters when handling high concurrency across multiple channels.
Real-Time Data Sync
With 100+ pre-built connectors, data is constantly being updated. Faster operations mean fresher data without impacting platform responsiveness.
Platform-Wide Impact: Performance improvements in vector search affect every aspect of the chatbot experience—from response times to learning capabilities to multi-channel deployment.
What Open Dimension Would Gain
If Open Dimension were to use Antarys (once cloud hosting is available), they identify several potential benefits:
1. More Responsive Chatbots
Multiple searches that currently might take 400-500ms could potentially complete in 40-50ms. This makes chatbot interactions feel instantaneous rather than sluggish.
2. Better Resource Utilization
Faster queries could mean handling more concurrent conversations on the same infrastructure, potentially reducing the need for additional servers as the platform scales.
3. Simpler Architecture
Integrated embedding generation and storage means one less service to manage and coordinate between.
4. Predictable Scaling
As the platform grows, performance improvements might help maintain responsiveness without proportional infrastructure increases.
Why Not Currently Using Antarys
Open Dimension is transparent about their situation:
Main Reason: Antarys doesn't have cloud hosting yet.
For a platform-as-a-service business, cloud infrastructure is essential for:
- Serving customers globally
- Managing infrastructure at scale
- Providing uptime guarantees
- Handling customer data security
However, they acknowledge that:
- Performance benefits could be significant for their platform
- Potential cost advantages with self-hosting and better performance
- Worth evaluating once Antarys offers cloud hosting
Future Consideration: Open Dimension would evaluate Antarys once cloud hosting becomes available, given the performance improvements and potential operational benefits.
For Similar Platforms
Open Dimension recommends Antarys for other teams building AI chatbot platforms if they:
Can Self-Host Now
If you have an infrastructure team and can self-host, you could access:
- Immediate performance improvements
- Potential cost benefits from day one
- Full control over infrastructure
Prioritize Performance
If your platform depends on:
- Instant chatbot responses
- High-volume concurrent conversations
- Multiple vector searches per interaction
- Real-time learning from customer interactions
Want Cost Predictability
For platforms where:
- Per-query pricing becomes expensive at scale
- Predictable infrastructure costs are important
- Better resource utilization matters operationally
Value Simplicity
If you prefer:
- Integrated embedding and storage workflow
- Fewer services to manage
- Straightforward deployment
The Performance-Cost Connection
Open Dimension's key insight: performance improvements in vector search aren't just about speed—they potentially affect operational costs.
Better performance could mean:
- Higher throughput: More conversations handled per server
- Better utilization: Same infrastructure serves more customers
- Reduced scaling needs: Performance helps delay infrastructure expansion
- Predictable costs: Self-hosting provides cost certainty
These are theoretical benefits based on typical performance-cost relationships in cloud infrastructure.
Impact on Platform Features
Hallucination-Proof Responses
Open Dimension's agents cite sources for every answer. Fast vector search enables quick retrieval of relevant sources without slowing response time.
Visual Workflow Builder
Non-technical users create workflows that include vector search operations. Performance ensures these workflows run smoothly in production.
Multi-Channel Deployment
Same knowledge base serves Slack, WhatsApp, Teams, and more. Fast queries prevent bottlenecks when handling multiple channels simultaneously.
Real-Time Analytics
Platform tracks every interaction for optimization. Performance allows analyzing patterns without impacting customer-facing operations.
Conclusion
Open Dimension doesn't currently use Antarys because Antarys doesn't offer cloud hosting yet. However, they recommend it for AI chatbot platforms because:
✓ Performance impact - Faster vector search makes chatbots more responsive
✓ Potential cost benefits - Better performance could reduce operational expenses
✓ Simpler workflow - Integrated embedding generation and storage
✓ Scaling advantages - Performance improvements might help as platforms grow
For teams building similar chatbot platforms who can self-host now or are waiting for Antarys cloud offering, Open Dimension acknowledges that the performance improvements could significantly impact user experience and potentially reduce operational costs.
Learn more: Antarys Documentation | Open Dimension AI
Contact Open Dimension:
📧 hello@opendimension.ai
🏢 10th Floor, JCX Business Tower, Japan Street, Bashundhara R/A, Dhaka 1229, Bangladesh
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