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Turns a team's Notion pages into a branded, SEO-friendly help center site or embeddable in-app widget.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Collaborative AI workspace combining docs, sheets and integrations with AI agents, aimed at teams wanting a 'second brain'.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
Enterprise Agentic RAG platform (now under Progress) unifying data into a knowledge layer for AI agents and LLMs.
Free trial available
No public pricing
No public pricing
Free trial available
- ✦Auto-converts Notion pages into a help center site
- ✦Embeddable in-app widget with natural-language search
- ✦Custom domain or sub-path hosting
- ✦Automatic SEO optimization and fast page loads
- ✦Branding customization (logo, colors, header/footer)
- ✦Password-protected private help centers
- ✦Multi-language and custom text support
- ✦Feedback collection on articles
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦Real-time collaborative docs, sheets, kanban boards, and calendars
- ✦Integrations with Notion, Salesforce, Slack, Google, GitHub, and more
- ✦AI agents that perform background research and content tasks
- ✦Natural-language automation builder with a visual node editor
- ✦Cross-document AI analysis to surface latent connections
- ✦Centralized file storage and workspace sharing
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦RAG-as-a-service and modular RAG
- ✦NucliaDB knowledge store
- ✦Generative AI ingestion of unstructured data
- ✦Agentic knowledge layer for AI agents
- ✦RAG evaluation (REMi) and Prompt Lab
- ✦Model Context Protocol support
- →Startups turning internal Notion docs into public documentation
- →SaaS teams adding contextual in-app help
- →Support teams wanting SEO-optimized knowledge bases without new tooling
- →Companies needing password-protected internal wikis
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Building a shared knowledge base for a team's projects
- →Automating multistep workflows like report generation or email drafting
- →Using AI agents to handle background research or data analysis tasks
- →Replacing scattered documents and spreadsheets with one collaborative hub
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Building enterprise copilots and assistants
- →Generative search over company data
- →Video and document indexing
- →Powering AI agents with governed knowledge