AI Smart Assistant (AI Chatbot) provides an entry-level, tailored AI solution designed to handle routine customer interactions or streamline internal support workflows. By grounding the model in your specific business data and aligning its tone with your brand identity, this setup ensures accurate, context-aware responses while maintaining operational control.
Malaysia has no shortage of payment gateways. BeanSE narrows the decision to four things worth weighing.
Knowledge Ingestion & Vector Indexing
We extract text from your designated up to 20 web page URLs. This content is processed, structured, and stored in a searchable index (vector database) so the AI can quickly retrieve precise facts rather than guessing.
System Prompt & Alignment Configuration
We program a master system prompt that defines the bot’s identity, tone of voice, fallback rules, and operational guardrails. This step ensures the AI stays strictly within its assigned scope and speaks like an authentic representative of your business.
Query Retrieval & Augmented Generation (RAG)
Retrieve: The system searches the indexed knowledge base for relevant facts from your 20 URLs.
Augment: It combines those retrieved facts with your configured system instructions.
Generate: The LLM constructs a clear, grounded response based only on your verified data.
Usage Tracking & Managed Cap
Every incoming and outgoing message is logged against your monthly tier limit (~50 messages/month). Once the early-stage cap is approached, system administrators can review interaction logs to assess performance before upgrading capacity.
Malaysia has no shortage of payment gateways. BeanSE narrows the decision to four things worth weighing.
Knowledge Ingestion & Vector Indexing
We extract text from your designated up to 20 web page URLs. This content is processed, structured, and stored in a searchable index (vector database) so the AI can quickly retrieve precise facts rather than guessing.
System Prompt & Alignment Configuration
We program a master system prompt that defines the bot’s identity, tone of voice, fallback rules, and operational guardrails. This step ensures the AI stays strictly within its assigned scope and speaks like an authentic representative of your business.
Query Retrieval & Augmented Generation (RAG)
Retrieve: The system searches the indexed knowledge base for relevant facts from your 20 URLs.
Augment: It combines those retrieved facts with your configured system instructions.
Generate: The LLM constructs a clear, grounded response based only on your verified data.
Usage Tracking & Managed Cap
Every incoming and outgoing message is logged against your monthly tier limit (~50 messages/month). Once the early-stage cap is approached, system administrators can review interaction logs to assess performance before upgrading capacity.
Works seamlessly across majority platforms:
WordPress
HTML
Shopify
Laravel
PHP
JavaScript
Bean Search Expert Sdn Bhd relies on industry-standard Large Language Model (LLM) API infrastructure. Because third-party provider rates are subject to market adjustments, fixed rates for underlying token usage cannot be guaranteed indefinitely. In the event of an API pricing adjustment by underlying providers, clients will receive written advance notice before any rate modifications take effect on subsequent billing cycles.
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