RAG-Powered Document-Based Conversational AI

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Flexible Integration with Multiple LLMs

Select and integrate different large language models (LLMs) based on service goals, response styles, and cost requirements.

RAG-Based Response Engine

Deliver high-reliability answers using document retrieval and synthesis.

Document-Linked QA Interface

Enable question-answering grounded in actual internal knowledge sources.

Source-Based Answer Verification

Clearly present the source documents used to generate each response.

Automated Knowledge Refresh & Indexing

Automatically index newly added documents and refresh response accuracy.

Custom Prompts and Domain-Specific Document Sets

Tailor responses to department-specific needs using targeted prompts and datasets.

Organizations that manage a wide range of internal documents such as manuals, policies, and procedures
Teams seeking centralized management of multiple LLMs across use cases
Businesses aiming to rapidly implement conversational AI for internal knowledge support