Answer Gen
Introducing Answer GenTM
A GenAI based Answer Generation Engine from Documents
Finding answers, context and information from large structured and unstructured data
Finding answers, context and information from large structured and unstructured data
We use advanced LLMs and RAG techniques to generate reliable, context-rich answers and summaries from questions written in natural language.
The RAG (Retrieval Augmented Generation) system for unstructured documents utilizes VectorDB, Embeddings, and LLM to offer advanced capabilities in understanding and generating answers. The Answer Gen AI Engine can comprehend complex documents and generate relevant responses.
Fusemachines' Answer Gen AI Engine is fine-tuned to cater to industry-specific contexts. It is adaptable and can undergo retraining and fine-tuning to align with the unique requirements of your specific industry, context, and domain.
Hallucination reduction techniques and guardrails are used to ensure that answers are free of hallucinations, ensuring high-quality responses.
Your data stays within your infrastructure, and robust access controls are in place to instill confidence in the safety and security of high-quality data.
Deploy effortlessly without the need for technical expertise, making implementation smooth and accessible for everyone.
Accelerate deployment timelines for quicker implementation and faster integration into your workflow.
Unlimited documents and API usage for a flat fee.