ChunkIQ is an enterprise-grade unstructured data pipeline that automatically ingests documents from Microsoft 365 sources (SharePoint, Teams, OneNote, OneDrive), extracts text from all major file formats, chunks and embeds the content, and indexes it into Azure AI Search for powerful semantic search and RAG applications.
Getting started is simple: 1) Sign up and create a workspace. 2) Configure your Azure tenant credentials (App Registration, Storage Account, AI Search, and OpenAI). 3) Add a connector pointing to your SharePoint site, Teams channel, OneNote notebook, or OneDrive. 4) Run your first pipeline job. Documents will be ingested, extracted, chunked, embedded, and indexed — typically within minutes.
ChunkIQ currently supports four Microsoft 365 sources: SharePoint document libraries, Microsoft Teams channel files, OneNote notebooks (including embedded attachments), and OneDrive (personal and shared drives). Additional sources are on the roadmap.
All data stays entirely within your own Azure tenant. ChunkIQ stores ingested files in your Azure Data Lake Storage Gen2 account, and indexes are created in your Azure AI Search instance. No data is sent to or stored on ChunkIQ servers — the platform only orchestrates the pipeline within your infrastructure.
Yes. ChunkIQ is designed with enterprise security in mind. All data remains in your Azure tenant with encryption at rest and in transit. Authentication uses Azure App Registrations with least-privilege permissions. The platform supports role-based access control for workspace members, and all API communication is over HTTPS.