Neptune demo support for new notebook launch #175
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Hi @KaifAhmad1 - sorry to hear about your account being temporarily suspended. If you can sign in to the AWS console, please go to the AWS Support Center. If you cannot sign in, try the AWS support public contact page. For guidance on a recommended Neptune demo setup, we can consider a CloudFormation template that creates a "dev" cluster with a single t3 instance configured with a public endpoint and IAM Auth enabled (required for public endpoint), and creates an IAM User using least-privilege principles. See Get started with Neptune Database for free on the Amazon Neptune pricing page. We can include the CloudFormation template in the same directory as the Amazon Neptune Cookbook and reference it as a prerequisite in the cookbook. |
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Hi @don-simpson Hope you're doing well! I still remember your suggestion about adding Amazon Neptune support to Semantica. Since then, we've added native integrations for Databricks and Snowflake. We're now expanding our enterprise data ingestion capabilities for AWS. Which service do you think we should prioritize next? I'd really value your thoughts. |
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@don-simpson I was wondering if you'd also be interested in adding RDF/SPARQL support for Amazon Neptune alongside the existing OpenCypher backend. Since Neptune natively supports both graph models, having RDF support would make the integration even more complete. Let me know what you think! |
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Hi @don-simpson — thanks again for your support and for the excellent Neptune integration The PR is merged and the implementation looks solid
Quick context: my AWS account is temporarily suspended, which is blocking me from spinning up a Neptune cluster at the moment. At the same time, we’re preparing to launch a new end-to-end notebook to drive product adoption around Semantica (semantic pipeline) + Docling (document parsing) + Amazon Neptune (graph storage)
The notebook walks through the full pipeline — Docling-based document parsing → Semantica-powered semantic extraction and KG construction → persistence to Neptune via the new GraphStore backend → GraphRAG and agent memory
If you have any guidance on a recommended Neptune demo setup or an AWS-aligned approach for showcasing this in a public-facing notebook, I’d really appreciate your help 🙏
Thanks again for the support and collaboration — excited to keep pushing this forward together
Here’s the notebook prepared for the demo 👇
https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/03_Earnings_Call_Analysis.ipynb
Kaif
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