Not ready to talk? 👋
Not ready to talk? 👋
Not ready to talk? 👋
Source setup for AI assistants isn't intuitive. Let us learn your use case in a quick 20-minute call before configuring your free kapa.ai demo. No pitch—just proper preparation.
We'll be in touch via email shortly. You can also book a call with the kapa team right away to explore production-ready AI assistants.
Below are the most common questions we get.
We'll be in touch via email shortly. You can also book a call with the kapa team right away to explore production-ready AI assistants.
What data sources do you support?
Kapa.ai connects with both external and internal data sources including:
Documentation: Web crawling, Confluence, Notion, Zendesk Help Center
Developer tools: GitHub, OpenAPI, Stack Overflow
Communication: Slack, Discord, Teams
Files: PDFs, text files, S3 Storage
Custom data: Create your own content
Most organizations use a combination of public-facing and internal knowledge sources to create comprehensive AI assistants.
What data sources do you support?
Kapa.ai connects with both external and internal data sources including:
Documentation: Web crawling, Confluence, Notion, Zendesk Help Center
Developer tools: GitHub, OpenAPI, Stack Overflow
Communication: Slack, Discord, Teams
Files: PDFs, text files, S3 Storage
Custom data: Create your own content
Most organizations use a combination of public-facing and internal knowledge sources to create comprehensive AI assistants.
What data sources do you support?
Kapa.ai connects with both external and internal data sources including:
Documentation: Web crawling, Confluence, Notion, Zendesk Help Center
Developer tools: GitHub, OpenAPI, Stack Overflow
Communication: Slack, Discord, Teams
Files: PDFs, text files, S3 Storage
Custom data: Create your own content
Most organizations use a combination of public-facing and internal knowledge sources to create comprehensive AI assistants.
What data sources do you support?
Kapa.ai connects with both external and internal data sources including:
Documentation: Web crawling, Confluence, Notion, Zendesk Help Center
Developer tools: GitHub, OpenAPI, Stack Overflow
Communication: Slack, Discord, Teams
Files: PDFs, text files, S3 Storage
Custom data: Create your own content
Most organizations use a combination of public-facing and internal knowledge sources to create comprehensive AI assistants.
What analytics do you provide?
Short answer: TONs. Check them out here.
Long answer: We've designed analytics around helping you understand user intentions and improve your documentation:
Dashboards and Reports: Track key metrics over time with regular email or Slack summaries
Content Gap Analysis: Identify where documentation is missing based on "uncertain" AI responses
Conversation Labeling: Automatically categorize conversations and filter out off-topic queries
Question Clustering: Discover patterns in user questions to prioritize content creation
Source Analytics: Track which parts of your documentation are most referenced
User Tracking: Anonymous user engagement tracking with optional custom user data integration
What analytics do you provide?
Short answer: TONs. Check them out here.
Long answer: We've designed analytics around helping you understand user intentions and improve your documentation:
Dashboards and Reports: Track key metrics over time with regular email or Slack summaries
Content Gap Analysis: Identify where documentation is missing based on "uncertain" AI responses
Conversation Labeling: Automatically categorize conversations and filter out off-topic queries
Question Clustering: Discover patterns in user questions to prioritize content creation
Source Analytics: Track which parts of your documentation are most referenced
User Tracking: Anonymous user engagement tracking with optional custom user data integration
What analytics do you provide?
Short answer: TONs. Check them out here.
Long answer: We've designed analytics around helping you understand user intentions and improve your documentation:
Dashboards and Reports: Track key metrics over time with regular email or Slack summaries
Content Gap Analysis: Identify where documentation is missing based on "uncertain" AI responses
Conversation Labeling: Automatically categorize conversations and filter out off-topic queries
Question Clustering: Discover patterns in user questions to prioritize content creation
Source Analytics: Track which parts of your documentation are most referenced
User Tracking: Anonymous user engagement tracking with optional custom user data integration
What analytics do you provide?
Short answer: TONs. Check them out here.
Long answer: We've designed analytics around helping you understand user intentions and improve your documentation:
Dashboards and Reports: Track key metrics over time with regular email or Slack summaries
Content Gap Analysis: Identify where documentation is missing based on "uncertain" AI responses
Conversation Labeling: Automatically categorize conversations and filter out off-topic queries
Question Clustering: Discover patterns in user questions to prioritize content creation
Source Analytics: Track which parts of your documentation are most referenced
User Tracking: Anonymous user engagement tracking with optional custom user data integration
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.
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 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.
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.
What does kapa.ai cost?
Kapa's pricing is tailored to your specific team's needs.
Our pricing is based on:
AI platform fee based on your needs incl. optional add-ons
Flexible scaled pricing based on answers per month
Support and integration with your tools included with every plan
We're excited to explore pricing plans in our call.
What does kapa.ai cost?
Kapa's pricing is tailored to your specific team's needs.
Our pricing is based on:
AI platform fee based on your needs incl. optional add-ons
Flexible scaled pricing based on answers per month
Support and integration with your tools included with every plan
We're excited to explore pricing plans in our call.
What does kapa.ai cost?
Kapa's pricing is tailored to your specific team's needs.
Our pricing is based on:
AI platform fee based on your needs incl. optional add-ons
Flexible scaled pricing based on answers per month
Support and integration with your tools included with every plan
We're excited to explore pricing plans in our call.
What does kapa.ai cost?
Kapa's pricing is tailored to your specific team's needs.
Our pricing is based on:
AI platform fee based on your needs incl. optional add-ons
Flexible scaled pricing based on answers per month
Support and integration with your tools included with every plan
We're excited to explore pricing plans in our call.