Broad source ingestion
Connects to more than 30 technical knowledge sources, including documentation, PDFs, GitHub code, Slack, Google Drive, Notion, Salesforce, Linear, Confluence, Stack Overflow, Discord, S3, and OpenAPI.
AI assistants grounded in technical documentation with cited answers
kapa.ai is an AI assistant platform for technical documentation and product knowledge. It connects to docs, code, support content, and other technical sources, then uses that material to answer complex questions with citations and uncertainty handling.
The product is positioned for teams that need customer-facing AI assistants or internal technical agents without building the full retrieval, evaluation, deployment, and maintenance stack themselves. Its pages emphasize fast setup, real-time syncing, analytics on unanswered questions, and deployment across multiple surfaces.
Connects to more than 30 technical knowledge sources, including documentation, PDFs, GitHub code, Slack, Google Drive, Notion, Salesforce, Linear, Confluence, Stack Overflow, Discord, S3, and OpenAPI.
Re-indexes content automatically when a source changes so answers stay current as documentation and code evolve.
Deploys AI assistants across websites, agents via MCP, support forms, API/SDK, chat platforms, and internal surfaces.
Grounds each answer in source material, cites where the answer came from, and flags uncertainty when the documentation is missing or conflicting.
Surfaces unanswered questions, gaps in documentation, and which sources drive deflection so teams know what to fix next.
Supports versioned answers, PDFs and images, and code-aware retrieval for more complex technical knowledge bases.
Turn help centers, docs, PDFs, and code references into a customer-facing assistant that answers technical questions directly on a website or in-product surface.
Use the answer engine to support internal technical agents that need grounded responses from product documentation, code, and support knowledge.
Connect sources like Slack, tickets, GitHub, and docs to identify unanswered questions and prioritize documentation updates.
Deploy the same knowledge base across websites, support forms, chat platforms, APIs, and MCP-based agents so different surfaces share one source of truth.
Ingest versioned documentation and code so answers stay scoped to the correct product version as releases change.
Kapa connects to technical knowledge sources such as documentation sites, PDFs, code repositories, support tools, and knowledge bases, then keeps them re-indexed as sources change.
The source material says teams can go from demo to production in less than 7 days, and the product pages emphasize quick setup from connected sources.
Kapa is positioned for technical teams that want accurate AI assistants grounded in their own documentation, code, and support content, including customer-facing assistants and internal agents.
The product emphasizes answers grounded in sources, citations, and uncertainty handling when documentation is missing or conflicting; it also shows analytics on unanswered questions and gaps in docs.
The pricing page says pricing is tailored to the team's needs, with a platform fee, scalable pricing based on answers per month, and customer success plus forward-deployed engineering included across plans.
Traffic data is for reference only.
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