Product Support Hub
Support: OptiChat
Encountered a bug, need help configuring your installation, or have a feature suggestion? Our engineering and support team is ready to assist.
Direct Contact
Email Helpdesk
Send your logs, screenshots, or inquiry directly to our engineering team.
Email support.optichat@4dc.servicesResponse Time
Within 4 business hours
All tickets are reviewed directly by the developers maintaining OptiChat. Urgent regressions receive prioritized resolution.
Troubleshooting
Frequently Asked Questions
Can OptiChat run completely offline using local LLM models? +
Yes. OptiChat can be deployed as an air-gapped on-premise container using local inference engines such as vLLM or Ollama. All vector indexing, query embeddings, and generative inference execute entirely on your local hardware with zero external internet traffic.
How do dual LoRA adapters improve performance on domain-specific data? +
Standard models often misinterpret industry acronyms and specialized jargon. OptiChat allows you to attach one LoRA adapter to the embedding model to maximize retrieval accuracy on proprietary terms, and a second LoRA adapter to the generative LLM to enforce strict tone, style, and structural formatting.
How does neuro-symbolic validation prevent hallucinations? +
Rather than relying purely on probabilistic language generation, OptiChat passes generated candidate outputs through formal symbolic constraint solvers and rigid JSON schema validators. Outputs that violate factual constraints or schema contracts are rejected and corrected prior to delivery.
How do we embed OptiChat into existing enterprise workflows? +
OptiChat provides an embeddable web component (a script tag and custom HTML element) that drops directly into any internal portal, intranet, or ERP system, along with REST and WebSocket APIs for automated backend pipelines.