Generative AI is a type of artificial intelligence that uses technologies such as deep learning and neural networks to learn patterns and characteristics from given data and generate various types of new content, including images and text.
Advances in generative AI have made it possible to significantly improve efficiency by supporting non-routine tasks, such as decision-making and creative activities, that were previously considered to require human involvement.
HIMACS has launched JishaNavi, its proprietary service that leverages generative AI.
What is JishaNavi?
JishaNavi is a generative AI chatbot that lets users ask questions in everyday language via a chat window and receive clear, easy-to-understand answers. It is designed to understand the customer’s environment, including internal systems and how to use them, enabling it to provide more relevant responses.
The practical business use of general-purpose generative AI/RAG solutions involves significant hurdles.
Challenge 1: Limited response accuracy
With generic RAG implementations, the system often fails to retrieve the documents the user intended, resulting in responses that fail to meet expectations.
JishaNavi can optimize RAG based on the characteristics of an organization’s proprietary knowledge assets, dramatically improving response accuracy.
Challenge 2: Cannot answer questions based on tacit knowledge
Tacit knowledge known only to specific individuals, such as person-dependent business processes, cannot be added to a RAG knowledge base because it has not been documented. As a result, AI cannot answer questions based on such knowledge.
JishaNavi features an Operator Mode that enables human operators to respond seamlessly in place of AI. In addition, operator answers are incorporated into the RAG knowledge base in real time.
Challenge 3: Adoption Does Not Take Hold
Because effective use of AI often requires users to know how to phrase questions and instructions, the user base tends to be limited, and the benefits of implementation across the organization are often constrained.
JishaNavi offers a wide range of features that support diverse use cases. By embedding these capabilities into day-to-day operations, organizations can promote adoption across the entire workforce and generate enterprise-wide benefits.
Key Features of JishaNavi
1.Tunable RAG
Improving RAG retrieval accuracy requires tuning based on the characteristics of the underlying documents.
JishaNavi enables customers to fine-tune settings across more than 20 parameters, allowing them to optimize RAG for their own documents.
2.Secure Environment
We provide each customer with a dedicated chatbot environment in the cloud.
The platform can securely handle confidential information, allowing customers to use it with confidence.
3.Tailored Hands-On Support
We offer detailed support services tailored to each customer’s specific circumstances and requirements.
- Implementation Support
- Operations Support
- PoC Support
- Customization Services
4.Continuously Evolving Service
Generative AI is evolving at an extremely rapid pace, making it difficult for organizations to keep up while remaining focused on their core business activities. JishaNavi continues to evolve so that customers can benefit from the latest advances without additional effort.
Implementation Process
JishaNavi can provide a dedicated chatbot environment for each customer in as little as one week after application.
Dedicated
Environment Setup
FAQ
Can any type of document be added to the RAG knowledge base?
A: File formats such as xlsx, csv, docx, pptx, pdf, txt, and md can be added. In addition to text, image data and tabular data contained in files are also analyzed and incorporated into the RAG knowledge base.
Can JishaNavi handle confidential information securely?
A: Yes. We provide each customer with a dedicated environment, and data is encrypted and managed under strict security controls.
Is customization available?
A: Yes. We offer customization services designed to accommodate customer requirements to the greatest extent possible.