Pongo
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Introduction:Minimize LLM inaccuracies by 80%.
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Category:Other
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Added on:Apr 27 2024
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Monthly Visitors:656.0
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Pongo: An Overview
Pongo is an advanced tool designed to enhance the accuracy of Retrieval-Augmented Generation (RAG) pipelines by significantly reducing large language model (LLM) hallucinations by up to 80%. Its seamless integration with existing workflows requires minimal setup, making it an efficient solution for improving information reliability in AI applications.
Pongo: Main Features
- Semantic filter technology for enhanced accuracy
- Seamless integration with existing RAG pipelines
- Minimal setup requirements
Pongo: User Guide
- Identify the RAG pipeline you wish to enhance with Pongo.
- Add a single line of code to your existing pipeline to integrate Pongo.
- Configure any necessary parameters according to your specific use case.
- Run your RAG pipeline and observe the reduction in LLM hallucinations.
Pongo: Pricing
Pongo: User Reviews
- "Pongo has transformed our RAG workflows, making them far more reliable. The integration was a breeze!" - Alex T.
- "We've seen a dramatic decrease in hallucinations since implementing Pongo. It's a game changer!" - Jamie L.
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