Performance You Can Prove.
See how DhakaBrain's deterministic architecture delivers superior reliability, efficiency, and speed compared to standard RAG pipelines.
Benchmark #1: Speed
Blazing Fast Performance
Our architecture is engineered for the demands of real-time applications. Powered by an optimized OpenSearch & Qdrant backend, our Python API delivers complex results at the speed of thought.
- Hybrid Context Retrieval
- < 100ms
- Complex Analytics
- < 25ms
- TaskGraph Generation
- < 100ms
- Document Page Ingestion
- < 3s
Benchmark #2: Efficiency
Drastically Reduce LLM Costs
DhakaBrain's Context Engineering sends smaller, more precise context to the LLM, directly cutting your OpenAI or Anthropic bill.
Standard RAG
Large, unfocused, probabilistic context
2,500+ Tokens
Wasteful & Inefficient
DhakaBrain DAA
Small, precise, repeatable context
750 Tokens
Precise & Cost-Effective
Benchmark #3: Reliability
From Black Box to Glass Box
We asked a complex question requiring data from a financial report. Standard RAG hallucinates. DhakaBrain provides a citable, auditable answer.
Standard RAG
"Based on the documents, the net revenue was approximately $1.2M, influenced by sales and marketing efforts."
DhakaBrain DAA
"The net revenue in Q3 was $1,253,420."
Source: Q3 SEC Filing (Doc ID: 42)
Audit Trail: TaskGraph Node 'Extract Net Revenue'
Your Turn to Command AI.
The data speaks for itself. Stop accepting unpredictable results and start building with deterministic control in our forever-free sandbox.