Any source
Pull files from S3, GCS, Azure Blob, Google Drive, SharePoint and more — incremental sync out of the box.
Product
File management built for AI workloads
Ingest, organize and index documents, images and audio so they're ready for search, RAG pipelines and model training.
Versioning
Every file is versioned with retention policies, soft-delete and immutable audit trails.
AI indexing
Automatic OCR, chunking and embedding generation so files are query-ready by your agents.
Fine-grained access
Folder, tag and content-based policies enforced by the same engine that protects your SQL data.
Designed for unstructured data at scale
PB-scale
Object storage
Backed by your cloud bucket.
30+
File types parsed
PDF, DOCX, PPTX, images and audio.
<5s
Index latency
From upload to searchable.
256-bit
Encryption
At rest and in transit.
How it works
- 01
Ingest
Sync from cloud storage, drives and apps. Incremental updates only, with checksums.
- 02
Parse & enrich
Extract text, run OCR on images and chunk content for embedding generation.
- 03
Index
Embeddings and metadata flow into a vector index keyed to your access policies.
- 04
Serve
Files are instantly available to search, agents and downstream pipelines.
Frequently asked questions
Where are my files stored?+
Files stay in your own cloud bucket. Avaloka stores derived artifacts like text, chunks and embeddings in your workspace.
Can I use my own embedding model?+
Yes. Choose from Avaloka, OpenAI, Cohere or open-source models — or bring your own via Inference Models.
How do I handle PII?+
PII detection and redaction can be applied at ingestion or query time. Policies follow the file across every consumer.
Does it support large files?+
Yes. Files up to 5GB are supported per object, with streamed parsing for very large PDFs and media.
Turn your file shares into AI-ready data
See how File Management makes unstructured data instantly useful.