kapa.ai - Instant AI answers to technical questions

What LLM do you use?

kapa.ai is model agnostic, meaning we're not tied to any single language model or provider. Our mission is to stay at the forefront of applied RAG, so you don't have to. We constantly evaluate and incorporate the latest academic research, models, and techniques to optimize our system for one primary goal: providing the most accurate and reliable answers to technical questions.

To achieve this, we work with multiple model providers, including but not limited to OpenAI, Anthropic, Cohere, and Voyage. We also run our own models when necessary. This flexible approach allows us to select the best-performing model for each specific use case and continuously improve our service as the field of AI rapidly evolves. To ensure data privacy and security we have DPAs and training opt-outs with all providers we work with.

What LLM do you use?

kapa.ai is model agnostic, meaning we're not tied to any single language model or provider. Our mission is to stay at the forefront of applied RAG, so you don't have to. We constantly evaluate and incorporate the latest academic research, models, and techniques to optimize our system for one primary goal: providing the most accurate and reliable answers to technical questions.

To achieve this, we work with multiple model providers, including but not limited to OpenAI, Anthropic, Cohere, and Voyage. We also run our own models when necessary. This flexible approach allows us to select the best-performing model for each specific use case and continuously improve our service as the field of AI rapidly evolves. To ensure data privacy and security we have DPAs and training opt-outs with all providers we work with.

How accurate is kapa?

Kapa's accuracy is very high, assuming your content is of good quality. That’s of course easy to say but hard to prove. So the best way to understand how kapa performs is to try it on your own content by requesting a demo here. Note that one of Kapa's strengths is its ability to help you identify gaps in your content, allowing you to continuously improve your documentation and, consequently, the accuracy of kapa. We provide analytics and insights to help you understand where your content can be enhanced for better accuracy

How accurate is kapa?

Kapa's accuracy is very high, assuming your content is of good quality. That’s of course easy to say but hard to prove. So the best way to understand how kapa performs is to try it on your own content by requesting a demo here. Note that one of Kapa's strengths is its ability to help you identify gaps in your content, allowing you to continuously improve your documentation and, consequently, the accuracy of kapa. We provide analytics and insights to help you understand where your content can be enhanced for better accuracy

How do you solve hallucinations?

We address hallucinations through a combination of grounded answers and rigorous evaluations. Our system is designed to provide answers based solely on your documentation, which significantly reduces the risk of hallucinations. In nearly all cases, incorrect or incomplete answers are due to issues with existing content or missing information. See more here. Additionally, our evaluation frameworks continuously test the system's outputs against our test set, allowing us to identify and correct any tendencies towards hallucination.

How do you solve hallucinations?

We address hallucinations through a combination of grounded answers and rigorous evaluations. Our system is designed to provide answers based solely on your documentation, which significantly reduces the risk of hallucinations. In nearly all cases, incorrect or incomplete answers are due to issues with existing content or missing information. See more here. Additionally, our evaluation frameworks continuously test the system's outputs against our test set, allowing us to identify and correct any tendencies towards hallucination.

Do you use fine-tuning or RAG?

At Kapa, we're model- and technique-agnostic, meaning we use whatever methods perform best for each specific use case. That said, we are strong proponents of Retrieval-Augmented Generation (RAG), as it offers practical way to ensure explainability and grounding answers in your content. We work closely with leading academics in this field, including Douwe Kiela, one of our investors and an author of the original RAG paper. This collaboration keeps us at the forefront of RAG research and implementation.

Do you use fine-tuning or RAG?

At Kapa, we're model- and technique-agnostic, meaning we use whatever methods perform best for each specific use case. That said, we are strong proponents of Retrieval-Augmented Generation (RAG), as it offers practical way to ensure explainability and grounding answers in your content. We work closely with leading academics in this field, including Douwe Kiela, one of our investors and an author of the original RAG paper. This collaboration keeps us at the forefront of RAG research and implementation.

What support does kapa provide?

We offer tiered support: self-serve for the Starter package, priority support via Slack and email for the Scale package, and premium support with a dedicated engine.

What support does kapa provide?

We offer tiered support: self-serve for the Starter package, priority support via Slack and email for the Scale package, and premium support with a dedicated engine.

Do you have a special tier for non-commercial OSS?

Yes. At kapa.ai, we believe in the power of open source and its ability to drive innovation in the developer community. To support the growth and success of open source projects, we're excited to introduce the kapa.ai Open Source Program. This initiative provides qualifying open source projects with access to our AI-powered support and onboarding bots at a discounted rate or entirely free of charge. Head over to the Open Source Program to see if you qualify.

Do you have a special tier for non-commercial OSS?

Yes. At kapa.ai, we believe in the power of open source and its ability to drive innovation in the developer community. To support the growth and success of open source projects, we're excited to introduce the kapa.ai Open Source Program. This initiative provides qualifying open source projects with access to our AI-powered support and onboarding bots at a discounted rate or entirely free of charge. Head over to the Open Source Program to see if you qualify.

Who do I reach out to for commercial and billing questions?

Please reach out to the kapa team under support@kapa.ai for any billing or commercial questions.

Who do I reach out to for commercial and billing questions?

Please reach out to the kapa team under support@kapa.ai for any billing or commercial questions.

Get started with kapa.ai pricing

Trusted by leading teams

Why companies choose kapa

Frequently asked questions

Instant Al answers for

your techincal product.

Instant Al answers for

your techincal product.

Instant Al answers for

your techincal product.