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Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI web browser for macOS that reads your tabs and connected apps to brief you, synthesize info and answer questions across your work.
Production RAG API for developers: parse, extract and search documents with SOTA OCR and cited retrieval, cloud or on-prem.
Connects your docs, inboxes and apps into one source-backed knowledge base that ChatGPT, Claude and agents can query.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
- ✦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
- ✦Markdown to Notion publishing
- ✦Automatic subpage creation from directory structure
- ✦CLI flag support for title and emoji
- ✦Integration with Notion's AI, search, and formatting
- ✦AI that reasons across open tabs and connected apps
- ✦Morning Brief of calendar, inbox and links
- ✦Synthesis into reports and decks
- ✦Split view and organised tab groups
- ✦Work and personal profiles
- ✦Privacy controls with end-to-end encrypted Sync
- ✦Parse endpoint with SOTA OCR (LightOnOCR-2)
- ✦Extract endpoint for schema-based JSON
- ✦Search endpoint with hybrid retrieval and citations
- ✦MCP-native and LLM-agnostic
- ✦Workspaces and chunk-level access control
- ✦On-prem, VPC or air-gapped deployment
- ✦Unifies docs, websites, inboxes and files into one synced knowledge base
- ✦Works with ChatGPT, Claude, Copilot, Gemini and MCP-aware agents
- ✦Source-cited answers with reviewable past lookups
- ✦Save settled decisions as reusable Memories
- ✦Sources auto re-sync every 24 hours
- ✦Exclude anything you do not want indexed
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Publishing documentation to a Notion workspace
- →Creating a public website from markdown documentation
- →Maintaining documentation alongside code in a repository
- →Summarising and synthesising work context
- →Starting the day with an agenda brief
- →Answering questions across tools and tabs
- →Separating work and personal browsing
- →Build production RAG without a long in-house pipeline
- →OCR and structure scanned documents
- →Grounded document search with citations for agents
- →Deploy secure enterprise document intelligence
- →Let AI answer questions about your business from existing content
- →Give e-commerce or agency teams one place to query support, brand and catalog docs
- →Keep canonical decisions like pricing or ICP current across every AI tool