DAKSH is built not only for out-of-the-box deployments but also for seamless integration into existing digital ecosystems — whether enterprise portals, citizen service apps, CRMs, or developer platforms. Its modular architecture is complemented by a robust set of SDKs, RESTful APIs, and embeddable widgets, making it developer-friendly, extensible, and customizable for diverse use cases and frontends.
This section outlines how organizations can tailor DAKSH to their workflows and infrastructure using pluggable interfaces and customizable hooks.
1. Embeddable UI Components
DAKSH provides lightweight, platform-agnostic UI components that can be dropped directly into existing web or mobile applications. These include:
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Chat Widget (Web): A fully responsive JS-based widget that supports text, voice input, multilingual toggles, and user role personalization.
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React & Vue SDKs: Developers can use DAKSH's npm packages to integrate the assistant within their SPAs or dashboards with full theming and routing support.
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Mobile SDKs (Flutter/Android): For native apps, SDKs expose functions to trigger voice input, handle stream events, and render chat history natively.
Each component supports configuration via initialization parameters:
jsCopyEditinitDakshWidget({
voiceEnabled: true,
defaultLang: 'hi',
userToken: 'xyz',
theme: 'dark'
});
These UIs support quick embedding in public portals (e.g., property tax websites), university ERPs, or enterprise intranets.
2. REST APIs and Webhooks
DAKSH exposes secure, token-authenticated REST APIs for programmatic interaction:
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POST /query
: Submit text or transcribed voice input and receive a structured JSON response. -
POST /upload
: Submit a new knowledgebase document (PDF/HTML/CSV) for indexing. -
GET /status
: Retrieve session or job status for batch uploads or model updates. -
POST /feedback
: Submit user feedback to fine-tune responses and evaluate interaction quality.
All API endpoints support multilingual payloads and can be configured with role-based access keys. Enterprise developers can register custom webhooks to be triggered on specific events, such as:
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Query executed
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New KB ingested
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Threshold errors or latency spikes
This allows tight integration with internal systems like CRM, ticketing software (e.g., Freshdesk, Zoho), or logging platforms.
3. Platform Integrations (Slack, WhatsApp, etc.)
DAKSH supports first-party integrations with popular communication tools and business platforms:
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Slack Bot: Deploy DAKSH into Slack workspaces to handle employee FAQs, IT requests, or HR queries in-channel.
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WhatsApp Business Integration: Via Twilio or Gupshup, DAKSH handles citizen or customer queries on WhatsApp, supporting rich responses with buttons, templates, and voice.
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Microsoft Teams & Google Chat: Embed DAKSH into enterprise collaboration tools for unified knowledge access.
Each integration respects channel-specific constraints (e.g., token size, interactive cards) and is powered by the same central knowledgebase — ensuring consistency across platforms.
4. Custom Prompt Tuning & Behavior Control
Organizations can customize DAKSH’s responses and behavior using declarative configuration files or API settings:
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System Prompts: Control tone, language formality, domain-specific terminologies, and compliance boundaries.
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Persona Settings: Assign role-based personas such as “Campus Advisor,” “Customer Support Agent,” or “Compliance Bot.”
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Fallback Behavior: Configure what happens if no relevant result is found — suggest similar questions, escalate to a human, or redirect to a URL.
These tuning controls allow DAKSH to operate within brand voice, regulatory scope, and institutional hierarchy.
5. Analytics, Usage Reports & Developer Console
DAKSH includes a web-based developer console with the following capabilities:
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Live session viewer (with PII redaction)
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Top queries and unanswered intent logs
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Per-language and per-user role heatmaps
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Monthly API usage and cost forecasts
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Token/embedding limits and model usage
Developers can export interaction datasets to CSV, connect BI dashboards via API, and define alert thresholds for rate limits or latency breaches.