PongoAI

What is PongoAI?

PongoAI is an innovative platform designed to help optimize Relevance-Adjusted Generation (RAG) pipelines. It focuses on enhancing the accuracy of responses by utilizing advanced semantic filter technology that quantifies improvement in relevant answers while minimizing incorrect responses.

What are the main features of PongoAI?

1. Real-Time Monitoring: Pongo constantly tracks your RAG pipeline's performance with quantifiable metrics, allowing for immediate insights.

2. Automatic Fixes: Utilizing advanced semantic filtering technology, Pongo can automatically rerank results in real-time to improve query responses.

3. Alerts for Inaccuracies: Pongo notifies you of customer queries lacking relevant sources, ensuring no question goes unanswered.

4. Scalability: Flexible subscription plans accommodate different needs, from startups to large enterprises.

How to use PongoAI?

To start using PongoAI, simply sign up and leverage its monitoring capabilities. Within 60 seconds, you can integrate Pongo into your existing workflows to begin tracking query performance. Depending on your subscription, you can manage hundreds of thousands of queries a month and receive alerts for any problematic queries.

Pricing Plans

1. Starter Plan: Free for up to 500 queries, ideal for those testing the waters.

2. Pro Plan: For $60/month, manage 60,000 queries, receive basic alerting, and more.

3. Enterprise Solutions: Custom availability with unlimited alerts, fine-tuning options, and priority support.

Helpful Tips

• Utilize Observation Mode: Enable observe mode to quantify improvements in your RAG pipeline before making adjustments.

• Self-Hosting: Pongo offers the option for self-hosting. Contact support to find the best setup for your organization.

• Optimize Latency: Expect an additional 300ms to 400ms latency for processing 50 documents of 512 tokens, based on deployment location.

Frequently Asked Questions

How does the semantic filter improve RAG outputs?

The semantic filter technology allows Pongo to accurately map query tokens onto the provided corpus, leading to better accuracy compared to vector search alone.

Can I self-host Pongo?

Yes, Pongo can be self-hosted. Reach out to Pongo's support team to explore the best options for your needs.

What is Pongo's latency?

Pongo typically adds between 300ms to 400ms for processing 50 documents of 512 tokens.

Is Pongo secure?

Yes, Pongo prioritizes security by only storing data if users opt-in. All data is encrypted and cryptographically scrambled, with no customer data used to train Pongo's models.

Can I fine-tune Pongo?

Absolutely! You can fine-tune Pongo, and the resulting model will be your intellectual property.

Does Pongo use an LLM for reranking?

No, Pongo employs proprietary semantic filter technology, which is significantly faster than traditional LLMs for reranking outputs in real-time. A large LLM is used in the background for analyzing contextually lacking queries.