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Build Deterministic AI, Faster.

Leverage our powerful, API-first toolkit to build, operate, and audit a new generation of reliable AI agents—DAAs.

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The Ingestion Pipeline

From Raw Data to Structured Knowledge

DhakaBrain doesn't just store your data. It runs it through a deterministic pipeline to analyze, enrich, and structure it for optimal retrieval.

1

Ingest

API, Files, Streams

2

Analyze & Extract

Text, Image, Audio

3

Enrich

Apply Metadata & Rules

4

Chunk

Semantic & Hybrid

5

Index

Vector, Keyword, Graph

Intelligent Extraction

More Than Just Text

DhakaBrain goes beyond simple text extraction, preserving the rich structure of your documents, from tables in PDFs to diagrams in presentations. We support 10+ file formats.

DhakaBrain transforms unstructured tables into clean, machine-readable Markdown, eliminating ambiguity for your AI agents.

Standard Extraction

Product Revenue Item A $15,000 Item B $22,000 Total $37,000

DhakaBrain Markdown Extraction

    | Product | Revenue   |
    |---------|-----------|
    | Item A  | $15,000   |
    | Item B  | $22,000   |
    | Total   | $37,000   |

Give your AI the ability to see. DhakaBrain’s vision engine analyzes charts and graphs directly within your documents, extracting key data points that text-only systems miss.

Before: An Image in a PPTX

Bar chart showing series data across four categories

After: Extracted Markdown Table

Chart Title 1

             | Series 1| Series 2| Series 3|
|------------|---------|---------|---------|
| Category 1 |   4.3   |   2.4   |   2.0   |
| Category 2 |   2.5   |   4.4   |   2.0   |
| Category 3 |   3.5   |   1.8   |   3.0   |

DhakaBrain links disparate data types (text, images, audio) using shared metadata to build a complete, 360° context for any business event.

Step 1: Ingest multi-modal data with shared metadata

delivery_photo.jpg

Delivery package 
metadata = {
    "order_id": "CMD-123",
    "customer_id": "CUST-456"
}

customer_call.mp3

metadata = {
    "order_id": "CMD-123",
    "customer_id": "CUST-456"
}

Step 2: Retrieve the full context with a single filtered query

# A simple query for "Order CMD-123"
dhakabrain.mcp.retrieve(
    filters={
        "conditions": [
            {
                "key": "order_id", 
                "value": "CMD-123"
            }
        ]
    }
)

Result: A unified, 360° context

{
    "results": [
        {
            "data_item_id": 901,
            "text_content": "OCR Result: Shipping label text 'Fragile' is visible on the package.",
            "metadata": { 
                "source_type": "image", 
                "order_id": "CMD-123", 
            }
        },
        {
        "data_item_id": 902,
            "text_content": "Audio Transcript: 'It arrived crushed, clearly mishandled. Can I get a refund please?'",
            "metadata": { 
                "source_type": "audio", 
                "order_id": "CMD-123", 
            }
        }
    ]
}

Why Developers Choose DhakaBrain

An API Designed for Control

Stop wrestling with unpredictable systems. Our API is built on the principles of determinism and auditability.

API-First Design

A clean, RESTful API that's easy to integrate. Everything you can do in the UI, you can do with the API.

Deterministic by Default

Eliminate unpredictability. Control your AI's behavior with a structured, rule-based engine.

Adaptative Forgetting

Go beyond simple TTLs. Create powerful data retention policies with time and metadata criterias.

Full Observability

Get full visibility into performance and cost with TaskGraphs and detailed logs.

Ingestion Tools

Reasoning Tools

RESPONSE 200 OK
Simulating endpoint call...

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