Pongo

Pongo

Reduce LLM Hallucinations by 80%

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Pongo is an AI-powered tool that helps reduce hallucinations in Large Language Models (LLMs) by up to 80%. It utilizes multiple state-of-the-art semantic similarity models and a proprietary ranking algorithm to ensure accurate and relevant search results. Pongo integrates seamlessly with existing pipelines, whether using a vector database or Elasticsearch, and processes top search results to deliver refined and reliable information. Its distributed architecture ensures consistent latency, handling a wide range of requests without compromising speed. Pongo prioritizes data security, operating at runtime with zero data retention and no data leaving its secure AWS VPC.

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Features

Advantages

  • Improves the accuracy and reliability of LLM-generated results
  • Enhances the effectiveness of RAG pipelines
  • Provides consistent latency for high-volume requests
  • Ensures data security with zero data retention and secure AWS VPC operation
  • Offers flexible pricing plans to suit different usage needs

Disadvantages

  • May require technical expertise to integrate with existing pipelines
  • Pricing plans may not be suitable for all budgets
  • Relies on the accuracy of the underlying LLM models

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