Gencore AI connector that ingests documents from Amazon S3 buckets into governed retrieval pipelines, preserving source permissions for enterprise LLM applications. Built and maintained by WIEWAVE for Azure Marketplace and AWS Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian |
| Marketplaces | Azure Marketplace and AWS Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Published |
| Google Cloud Marketplace | Available on request |
Need it on another marketplace, or as a private offer for your organisation? cloud@wiewave.com
Each image follows its distribution's own provisioning model, package manager and security tooling — not one build relabelled several times.
LTS and interim releases, Minimal and Pro variants, built to Canonical's cloud-image conventions.
Stable and oldstable, with backports where a workload needs a newer runtime than the release ships.
The same four steps behind every offer we've published, including the hardening and CIS Benchmark checks every build goes through.
The distribution, licensing model and target marketplaces are agreed before anything is built.
Packer templates, Ansible provisioning and a pinned package set — then hardened, scanned and checked against the CIS Benchmark for its distribution.
Taken through each cloud's own certification pipeline before it goes live on the marketplace.
Rebuilt on the upstream security cadence and re-published, with old versions retired without breaking deployments.
If yours isn't here, ask our marketplace team directly.
GPU-ready training and inference images with drivers, CUDA and frameworks already matched to each other.
Builds retrieval pipelines over Azure Blob Storage containers, syncing unstructured files into Gencore AI with entitlement-aware indexing for internal AI assistants.
Connector image reading unstructured content from Azure Data Lake Storage Gen2 hierarchies and preparing it as vectorised, access-controlled knowledge for Gencore AI.
Ingests files from Box workspaces into Gencore AI, keeping folder-level sharing permissions attached so generated answers respect existing collaboration boundaries.
Pulls documents from Dropbox into Gencore AI pipelines and indexes them for retrieval-augmented chat while carrying over per-file access rights.
Connects Google Cloud Storage buckets to Gencore AI so object contents are chunked, embedded and served to LLM applications under governance controls.
Reads OneDrive for Business libraries into Gencore AI, syncing personal and shared files into permission-aware vector indexes for enterprise assistants.
Tell us the distribution, the marketplace and the commercial model — we'll build, certify and publish it as a public listing or a private offer.
