ApertureData @ApertureData
Foundational Data Layer for AI: Combine scalable vector search with memory-optimized graph and multimodal data management aperturedata.io/home Mountain View, CA Joined November 2018-
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☀️ Our Summer of Workflows finale is here! Embedding Generation for Videos in ApertureDB Now you can generate embeddings for frames & clips, bringing video into the center of your AI stack. ✨ Real-world use cases: Search & Discovery → Semantic video search (“show me where…
✨ Awesome recap by Sandy Carter in Forbes on last week’s #LlamaLounge! 👏 Huge shoutout to @jowyang for uniting startups, investors & tech builders. Thrilled to see ApertureDB featured alongside other innovators. 👉 Full article here: forbes.com/sites/digital-…
☀️ Summer isn’t over, and neither is our Summer of Workflows! New Release: Extract text from images + PDFs → make them searchable → unlock smarter AI apps. Use cases: Search scanned PDFs w/ no text layer Detect & query street signs, license plates, product labels, or…
Nicely captured origin story and evolution of the ApertureDB query language
Last night’s Llama Lounge was awesome and the energy in the room contagious! A huge thank you to @jowyang for inviting ApertureData to present and Samuel J. Cummings III for keeping it moving all night. Vishakha delivered a great one-minute pitch, and the conversations at our…
: context context context :: who will solve the layers and orchestration ::: @ApertureData will keep rocking and here is what @vishakha041 shared at Llama Lounge 19 at @SAP Palo Alto
MEET THE SPEAKER: Vishakha Gupta Machine learning began with recognition tasks, then over the last two years generative AI has become woven into our daily lives—bringing interaction and creativity, but largely limited to a single modality: text. Now, with the rise of AI agents,…
Our Summer of Workflows series is wrapping up soon! This week, we’re diving into ApertureDB + Label Studio If you are building multimodal AI apps, you know labeling and annotation are critical for creating high-quality datasets. But it’s usually messy, slow, and disconnected…
🦙 Excited to be 1 of 10 startups demoing at Llama Lounge 19 on Sept 11! Huge thanks to Jeremiah Owyang for picking #ApertureDB from 1,000+ applications. Struggling with multimodal data for your AI apps? Text, images, audio, video, embeddings, … memory gaps slowing your agents?…
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗯𝗹𝗼𝗰𝗸𝘀 𝗼𝗿 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 - 𝘁𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻... 👀Why did we launch workflows for generating embeddings, object detection, face detection, and others instead of landing you in our UI with multimodal RAG? 🧠Why SQL compatibility…
☀️ All summer we have been releasing new ApertureDB AI Workflows each week—showcasing how easy it is to harness multimodal data to build everything from smart agents to GenAI apps. 🚀 In our latest blog, we break down: 🔹 What AI Workflows are 🔹 How they untangle ingestion,…
☀️ We’re in the final stretch of the Summer of Workflows — only 3 left! This week we are spotlighting Face Detection 👀 Face detection powers everything from: - Organizing massive photo libraries - Enhancing security systems - Personalizing user experiences But building a…
🍫 Chocolate + AI + Multimodal Data = ApertureDB at Llama Lounge! Out of 1,000+ demos submitted, ApertureDB was selected as one of the top showcases at Llama Lounge, Sept 11, Palo Alto. Our CEO, Vishakha Gupta, will demo ApertureDB, showing how easy it is to power AI and…
Featuring talks by Daft & @ApertureData, plus a fireside chat on challenges, motivations, and where multimodal data is trending. Register now: luma.com/skmqt8za
🧠 Behind every intelligent AI Agent lies one critical component: Memory. In our latest newsletter: What AI Memory is, why it matters, & what makes it agent-ready. Replay 🎥 From RAG to GraphRAG: Smarter Retrieval with Ayesha Imran & Gautam Saluja — see how GraphRAG +…
In Parts 1 & 2, we showed why infrastructure and multimodal data matter. Now we highlight real agents, in production, powered by ApertureDB. Here’s what they look like 1️⃣ Agentic RAG w/ SmolAgents (by Haziqa Sajid) Vanilla RAG breaks when retrieval fails. Agentic RAG…
🌞 The summer season might be winding down, but the #SummerOfWorkflows rolls along! This week’s release ApertureDB Object Detection Workflow, treats bounding boxes and polygons on images as first class citizens making it easy to: Ingest raw images from AWS/GCP Detect &…
⏰ Still time to join tomorrow’s Lunch & Learn: From RAG to GraphRAG — Smarter AI Retrieval (Aug 26 @ 11 AM PDT) Our community member, Ayesha Imran, will walk us through automating GraphRAG with Google Gemini and ApertureDB, and explain why GraphRAG outperforms Vanilla RAG for…

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