Automatically ingest SharePoint, Teams, OneNote, and OneDrive โ extract, chunk, embed, and index for AI-powered semantic search. All within your own Azure tenant.
Connect to your Microsoft 365 environment and let the pipeline handle the rest โ files of every format, automatically extracted and indexed.
Ingest documents from SharePoint document libraries across any site. Handles all Office formats, PDFs, and embedded attachments with full metadata.
Reads files shared in Teams channels and private chats. Discovers all team sites and libraries automatically.
Extracts notebook pages, parses clean text, and processes any Office attachments embedded in notes.
Connects to personal and shared OneDrive drives. Crawls folders recursively and processes all supported document types.
No external OCR service required. Each format has a dedicated extractor built into the pipeline.
A fully automated pipeline โ ingest, extract, chunk, embed, and index โ with no manual steps.
Pulls files from SharePoint, Teams, OneNote, and OneDrive into Azure Data Lake Storage Gen2 with full provenance metadata.
Dedicated extractors parse every file type โ PDFs, Word, Excel, PowerPoint, OneNote, and more. No external OCR service needed.
Extracted text is split into semantic chunks with full provenance metadata. Each chunk is embedded using Azure OpenAI (1,536-dim vectors).
Chunks are pushed to Azure AI Search with hybrid BM25 + vector search and semantic re-ranking for best-in-class retrieval accuracy.
A fully configurable processing pipeline on Azure โ no proprietary extraction service lock-in.
Dedicated extractors for every supported format. Fast, cost-free, and fully portable โ no external extraction service dependency.
Hybrid BM25 full-text search combined with 1,536-dim vector embeddings and Azure AI semantic re-ranking for highly accurate retrieval.
Automatically extracts and indexes files embedded inside Word, Excel, and PowerPoint documents alongside their parent with full lineage tracking.
Smart deduplication via content hashes ensures only new or changed files are re-processed, keeping costs low and the index fresh.
Every chunk carries source platform, site, library, file path, page number, chunk index, block type, modification dates, and more.
All data stays within your Azure tenant. Managed identity auth, ADLS Gen2 encryption at rest, and role-based access throughout.
Managed Azure services for storage, search, and embeddings โ dedicated extractors for all document parsing.
If your organisation's knowledge lives in SharePoint and Teams but your AI systems can't access it โ ChunkIQ closes that gap.
Thousands of documents scattered across SharePoint sites and Teams channels โ impossible to search manually. ChunkIQ indexes all of it into a single AI-searchable knowledge base.
Building a RAG pipeline or Copilot extension on top of enterprise data? ChunkIQ handles the entire ingestion and chunking layer so your team can focus on the AI application layer.
Need to make contracts, policies, and audit trails searchable and auditable? ChunkIQ processes every document with full provenance metadata โ source, file, page, modification date.
Evaluating unstructured data pipelines for your Azure data platform? ChunkIQ deploys entirely within your Azure subscription โ no data leaves your tenant.
Built on the enterprise stack you already trust
Have a question about ChunkIQ? Want to discuss your use case? Drop us a message and our team will get back to you promptly.
Talk to us about your data environment. We'll show you how ChunkIQ fits into your Azure tenant in 30 minutes.