We are almost at the end of our Summer of Workflows series!
This week we are featuring the Label Studio Workflow inside ApertureDB Cloud:
See It In Action
Spin up Label Studio connected to your ApertureDB instance
Label & annotate images right where your data lives
Build labeled datasets faster without manual transfer of cloud bucket URLs.
Perfect for anyone building multimodal AI agents or applications and looking to streamline annotation + dataset creation.
Ready to try it yourself? Start here
Read The Docs | Explore The Code | Additional Resources
Only 2 workflows left in the summer series stay tuned!
Feedback always welcome we re building this for the AI/ML community!
ApertureDB
Hi Product Hunt,
☀️ Just launched: URL to RAG Chatbot Workflow (Part of our 12-week Summer of Workflows!)
Ever wanted your website to answer questions like a human?
This no-code workflow lets you:
✅ Crawl and index any site
✅ Use powerful LLM providers (OpenAI, Together, Groq)
✅ Deploy a chatbot with full RAG capabilities
✅ Secure it with a token
✅ Explore results via API or a demo chat UI
🎬 See It In Action and start building.
No glue-code, no infrastructure headaches—just drop in your URL and go.
This workflow supports OpenAI, Together, and Groq and integrates with AIMon to prevent hallucinations and provide guardrails for RAG—an important step for real world use cases.
👉 Try It Now! Let us know what you think—we’re building a new one each week!
Read the docs | Explore the code | Additional Resources
Team ApertureData
ApertureDB
Hi Product Hunt,
☀ ️ The Summer of Workflows marches on!
This week’s release: Generate PDF Embeddings
With ApertureDB Workflows, you can now ingest PDFs, extract embeddings, and run lightning-fast semantic search, perfect for powering RAG agents or document Q&A systems.
🎬 See It In Action and start building today.
This Workflow lets you:
Import PDF files from cloud storage
Extract embeddings per segment using your favorite model
Store everything in ApertureDB
Run semantic search across your documents (we used Shakespeare!)
This workflow is perfect for building agentic AI, document Q&A systems, or GenAI applications that rely on real-world knowledge.
👉 Try It Now!
Let us know what you think—we’re building a new one each week!
5 workflows released so far. 7 more to go. Stay tuned!
Read the docs | Explore the code | Additional Resources
Team ApertureData
ApertureDB
If you couldn’t make it to our lunch & learn session demonstrating how to Launch Your AI Project Today with ApertureDB Multimodal AI Workflows—you can watch the full session on-demand now!
Learn how to:
Launch AI workflows in minutes – No complex setup required
Use pre-built solutions for image embeddings, classification & more
Accelerate AI development – Focus on building, not infrastructure
Bonus: Get access to sample code and resources to kickstart your AI project!
WATCH ON DEMAND NOW
View PDF Slides
You can of course try it out and tell us what other workflows you would like to see on https://cloud.aperturedata.io
ApertureDB
A few months ago, I found myself deep in a conversation about the future of retrieval—how we move beyond simple keyword or vector search into something more connected and context-aware. That’s when GraphRAG came up.The idea of combining graph and vector data isn’t just theoretically elegant—it’s powerful and now pretty practical. It lets you go from a sea of unstructured chunks to a semantically linked knowledge web. That’s why I’m excited to share this introductory blog on GraphRAG with ApertureDB, where we blend the strengths of knowledge graphs with the precision of vector search. It’s the first step in showcasing how ApertureDB makes this possible, and there's a more advanced example coming soon.
Check it out here:
Enhanced Retrieval with GraphRAG and ApertureDB
If you’re curious about the mechanics under the hood—like how schema and knowledge graphs work in ApertureDB—here’s the relevant documentation:
Knowledge Graphs and Schema in ApertureDB
Would love to hear your thoughts—have you tried blending graphs and vectors yet?
Daily.co
Great team + really interesting space — multimodal feels like one of the key themes this year.
TweetChat
ApertureDB
@peterbordes thank you ! we are seeing more and more people realize the need for the combined solution that we offer. It is hard to do vector in one, graph in another , data in a third place. Starts to wear people out as they scale and try to keep up with the rate at which AI is evolving
ApertureDB
Hi Product Hunt,
☀️ ️ PostgreSQL is great for structured data — but when your AI needs multimodal data (text, images, video), extracting it can be a hassle.
ApertureDB Ingest from SQL workflow changes that:
Connect directly to your PostgreSQL DB with credentials
Import multimodal data into ApertureDB in a few clicks
Skip custom export code & messy ETL
🎬 See It In Action:
Now your multimodal data is AI-ready — searchable, retrievable, and perfect for RAG + agentic applications.
👉 Try It Now!
This is part of our Summer of Workflows series. We’re halfway there: 6 workflows down, 6 more to come!
👇 Let us know what you think—we’re building a new one each week!
Read the docs | Explore the code | Additional Resources
Team ApertureData