Pongo - Reduce LLM Hallucinations by 80%

The markdown data is about a semantic filter called Pongo that helps in reducing hallucinations in RAG workflows with just one line of code. It uses multiple state-of-the-art semantic similarity models and a proprietary ranking algorithm to provide accurate results. Pongo can be integrated into existing pipelines and ensures consistent latency for any number of requests. It also guarantees zero data retention as it operates only at runtime and doesn't store any data.

Pongo offers different pricing plans including a free plan with 500 queries per month, a Deploy plan at $60 per month with 60K queries, a Lightning plan at $250 per month with 350K queries, and a custom Enterprise plan. It also provides the option for self-hosting and ensures security with no data leaving its AWS VPC. Pongo is in the process of getting SOC2 compliance.

Key takeaways:

Pongo offers a semantic filter for RAG workflows that can cut hallucinations with just 1 line of code.
Pongo uses multiple state of art semantic similarity models along with a proprietary ranking algorithm to ensure accurate results.
Pongo offers a range of pricing options, from a free tier to custom enterprise solutions, and can handle anywhere from 100 to 1,000,000 requests a day.
Pongo is secure and does not store any data from your queries, and no data leaves their AWS VPC.

Pongo - Reduce LLM Hallucinations by 80%

Key takeaways:

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