Create Unlimited Queries of Any Size
Storytell is different from other LLMs in that it uses a unique combination of technologies to deliver accurate and relevant responses.
Overview
Storytell enables deep data analysis through natural language queries, overcoming the constraints of traditional Large Language Models (LLMs). By leveraging a unique “MapReduce for LLMs” approach and an intelligent LLM Router, Storytell processes massive datasets efficiently, ensuring accurate and actionable insights.
The Challenge of Context Windows
LLMs have a limited context window, restricting the amount of information they can process at one time. This poses a challenge for analyzing large datasets, as standard models can only consider a fraction of the available data.
Storytell’s Solution: MapReduce for LLMs
Storytell overcomes traditional LLM context window limitations through our innovative “MapReduce for LLMs” approach.
Query Analysis
Complex questions are intelligently broken down into smaller, manageable sub-questions
Data Segmentation
Information is transformed into Story Tiles™, grouping related concepts together
Learn more about Story Tiles™
Parallel Processing
Our LLM Router assigns each sub-question to the most appropriate AI model:
- Reasoning & Knowledge
- Scientific Analysis
- Quantitative Processing
- Code Generation
- Communication
Result Aggregation
Individual responses are combined into a comprehensive, coherent answer
While traditional LLMs are limited to context windows of 32k-128k tokens, Storytell’s MapReduce approach enables processing of up to 10 million tokens in a single query.
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