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Get your Slack data as a ready-to-use RDF Knowledge Graph with a click of a button. Bootstrap or enhance your RAG or Machine Learning applications with a harmonized source of truth.
Slack Graph Exporter is the quickest and cheapest way to export Slack user and message data in RDF graph form. Unlike using other products on the market, you don't need to configure ETL pipelines or the output format -- we have modeled the RDF output for you using established vocabularies.
The graph output can be used to generate vector embeddings and then power a hybrid Retrieval Augmented Generation (RAG) applications such as enterprise vector search, customer 360 or sentiment analysis.
The RDF data is provided both as N-Quads files in an S3 bucket and loaded into an Amazon Neptune triplestore instance.
External dependencies
This product requires an internet connection to deploy properly. The following packages are downloaded on deployment:
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on a fixed monthly subscription cost. You pay the same amount each month for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
We do not currently support refunds, but you can cancel at any time.
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Fill out the stack parameters in the form, such as the base URI for RDF data and the Slack authentication token (the token is only used during the export).
Once the stack creation is complete, go to the "Outputs" section of the stack. There you will find the URL of the Neptune SPARQL endpoint and the S3 bucket where the raw exported RDF quad files are stored.
See the Documentation link for further usage instructions.
No sensitive information saved, No data encryption configuration used, No cryptographic keys used, and application does not make use of any encryption techniques.
Step-by-step instructions for how to assess and monitor the health and proper function of the application:
Navigate to your Amazon EC2 console and verify that you're in the correct region.
Choose Instance and select your launched instance.
Select the server to display your metadata page and choose the Status checks tab at the bottom of the page to review if your status checks passed or failed.
Commercial support for this AWS-specific product is provided by AtomGraph. Contact us at aws@atomgraph.com.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Configure monitoring for Amazon Web Services: CloudWatch, EC2, RDS, Elastic Beanstalk, Lambda, and more. Receive and manage alerts via Slack. Solve incidents as a team.
TurnKey Mattermost helps save you time and money by providing a ready-to-run Mattermost solution that is secure, supported and easy to maintain. The system auto-updates itself with security fixes and is built in a transparent 100% open source process free of hidden backdoors.
Expert Support for AI!
Get direct Slack access to AWS AI engineers who’ve built and scaled production AI systems. Ask us anything about Amazon Bedrock, SageMaker, and any of the AI services AWS provides, like Comprehend or Textract.