Boost productivity with generative
AI for every business
Ragsyna connects enterprise data to LLM
enabeling highly productive AI features for
customers and employees.
With Ragsyna, organisations extend the power of LLM with corporate knowledge in a customised knowledge base. Employees and customers can use Ragsyna to access AI-based features such as text generation, semantic search and document clustering.
Large Language Models (LLMs) like OpenAI’s ChatGPT have transformed the field of AI with their capabilities, yet they face inherent challenges. A significant limitation is their static design, effectively freezing them at a point in time.
Despite this, LLMs may sometimes answer recent questions with misplaced confidence, known as “hallucination.” Such inaccuracies are problematic, particularly when these models are applied in crucial real-world scenarios. To mitigate these foundational LLM constraints, Retrieval Augmented Generation (RAG) has emerged as an innovative approach.
Integrating an LLM with a RAG system allows access to the underlying enterprise data sources used by the model. This transparency not only validates the LLM’s responses for accuracy but also cultivates user trust.
RAG also presents a cost-efficient alternative. It avoids the heavy computational and financial costs of developing custom models or refining existing ones.
Our solution is especially advantageous for entities without the resources to build and implement foundational models from the ground up.
High quality RAG-System for business
Ragsyna is an enterprise ready SAAS solution. With the Ragsyna Manager you can create different knowledge bases, link them to corresponding document sources and update them automatically. Ragsyna uses state of the art AI / NLP technology for the individual stages of RAG pipeline data processing:
Generative AI Use Cases and Impact
Ragsyna offers advanced capabilities to extract elements and metadata from various document types, such as Office360, PDF, Images, HTML and more.
Our platform provides a suite of core functionalities that are critical for efficient data processing, including the extraction of a variety of document element types and metadata. Ragprise’s source connectors make it easy to bring in your data by providing a variety of tools to partition, clean, extract, stage, chunk, and embed your data. With these tools, you can be sure that your data is always accessible, up-to-date, and ready for any downstream task.
RAG-System business use cases and benefits
Boosting Innovation: It fosters creative solutions in design, marketing, and product development.
Content Creation: Automates generation of articles, marketing copy, and code, saving time and resources.
Personalization: Tailors products and services to individual preferences at scale, enhancing customer experience.
Data Insight: Analyzes large datasets for patterns, aiding strategic decision-making.
Rapid Prototyping: Speeds up product development in manufacturing and design through quick simulations.
Improved Customer Service: AI chatbots and assistants enhance customer interaction and support.
Employee Training: Utilizes personalized AI-generated content for effective training and development.
Accelerated R&D: Advances discoveries in fields like pharmaceuticals by predicting properties of new materials.
Reasons for Ragsyna
Boost your Business Productivity
Increasing employee productivity through generative AI has great potential in all areas of a company. A team that uses Regsyna finds files faster, answers questions more precisely and creates high-quality texts based on the company’s specific domain knowledge.
Ragsyna enables employees to query distributed information sources via a centralised system. The semantic search not only finds all matching documents but can also cluster similar document content through comparison.
Are you interested in using Ragsyna in your company? This will allow you to utilise the potential offered by generative AI.
Contact us, we look forward to your feedback: email@example.com