Apache Solr
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Domain-Specific Small Language Models
Join us for another session of our study group as we continue our coverage of the book Domain-Specific Small Language Models. In this session, we will attempt to cover Chapters 13 on "Creating end-to-end applications", which explores RAG and Agents and Chapter 14, on "Advanced Components for LLM Applications", which explores GraphRAG.
This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from here https://github.com/virtualramblas/Domain-Specific-Small-Language-Models ahead of time.
Less Noise, More Signal: SBOMs + Agentic Observability
We’re excited to bring the community together for an evening of learning and connection. This time, we'll have a community member from Chainguard sharing a use case and, as usual, an Elastic employee sharing their expertise as well.
Come support your fellow developers, learn something new, and meet others who are passionate about search, observability, and security.
**Date and Time:**
Tuesday, May 19th, from 5:30-7:30 pm EDT
**Location:**
Elastic Arlington Office - 4100 Fairfax Drive, Ste 500, Arlington, VA 22203
**Agenda:**
* 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
* 6:00 pm: The SBOM Pile in Your S3 Bucket: Turning Bills of Materials Into a Risk Dashboard; and Watching It Shrink with Chainguard, by Mike Barreta, Senior Manager, Engineering at Chainguard
* 6:30 pm: Q&A
* 6:40 pm: **Agentic Observability: Next-Gen Alerting and Auto-Detected Significant Events**, by Jason Rhodes,
Senior Manager, Software Engineering at Elastic
* 7:10 pm: Q&A
* 7:20-7:30 pm: Networking & refreshments
**Talk Abstracts:**
**"The SBOM Pile in Your S3 Bucket: Turning Bills of Materials Into a Risk Dashboard; and Watching It Shrink with Chainguard**"
Most organizations now generate SBOMs because someone — EO 14028, a FedRAMP auditor, an ISSM — told them to. They land in an S3 bucket, get versioned, and are almost universally never queried. This talk is about what happens when you finally do. I'll stand up a self-contained Elastic stack, pour in SBOMs (SPDX), SLSA provenance, Sigstore signatures, Grype vulnerability scans, the CISA KEV catalog, and OpenVEX adjudication for 30 container images, and show the queries that only become possible once SBOMs stop being compliance artifacts and start being telemetry: which packages I actually run right now, which CVEs are real exposures versus VEX-suppressed noise, what swapping a stock image for its Chainguard equivalent would buy me, and how much of my CVE list is just stuff I inherited from the base layer.
Then the cleanup. The same dashboards on Chainguard images show what disappears when the SBOM is small, the signatures verify, and the advisory feed is active: \~9,000 fewer CVEs and \~2.5 GB saved across 20 image pairs, KEV exposure dropping from 7 hits to 0, compliance pass rate going from 0% to 76.5% against NIST 800-218 / FedRAMP Moderate / SSDF.
**Bio:**
Mike Barretta leads Chainguard’s public sector solutions engineering team, focused on helping ensure the federal government receives its fair share of the future. Barretta has worked across civilian, defense and intel programs in a variety of roles—software developer, data scientist, solution architect—for a variety of organizations—system integrators, consulting companies, software vendors—with the common purpose of creating and championing technologies and techniques for simplifying the extraction and utilization of information from lots of data. Having witnessed the ever-increasing threats to those systems, Barretta is now focused on methods and mitigations to secure them
**Agentic Observability: Next-Gen Alerting and Auto-Detected Significant Events**
We're rebuilding Elastic's alerting engine to make alerts more flexible\, more powerful\, and more valuable as data\. Next\-gen alerting rules will run anything ES\|QL supports and capture whatever fields matter to you\, so alerts carry the context you need for real downstream analysis\. And if you'd rather not manage these rules yourself\, AI agents can help\, drafting them from natural language\, recommending tuning and configuration changes\, and reducing noise through deduplication\.
On top of this, we're also building a new Significant Events system which automatically builds a continuously updated knowledge base of your incoming data's own metadata. Using this deep understanding, our agentic tools will detect significant events from log patterns, anomalies, and predicted behavior — without you having to create a single rule.
**Bio:**
Jason Rhodes is a software engineering lead at Elastic, where he works on alerting and observability features. Based in the DC area, he has over 15 years of experience in software development and has been an active contributor to the local tech community — creating and organizing Baltimore NodeSchool and charmCityJS. When he's not writing and reviewing code, he's probably watching too many movies.
**Parking:**
* The building’s parking garage is operated by Colonial Parking and is located off N. Randolph Street
* Book a spot on[ SpotHero](https://spothero.com/search?kind=address&latitude=38.8818514&longitude=-77.1095268&search_string=4100+Fairfax+Dr+%23500%2C+Arlington%2C+VA+22203%2C+USA)
* A Metro Station is located across the street
AI Tool Explorers Night | Connect & Make New Friends
Most AI meetups end up as just networking. **We’re different.**
At **AI Tool Explorers Night \| Connect & Make New Friends**, you’ll:
✨ Walk away with a *real learning nugget* (a tool, workflow, or strategy you can use immediately)
✨ Connect with people who share your curiosity for AI, productivity, and automation
✨ Enjoy a fun, casual setting where new ideas and friendships spark naturally
👉 **Our promise:** every session delivers structure, substance, and takeaways you can use when you get home.
### 📅 Event Flow
* **6:00–6:15 PM** → Arrivals & intros
* **6:15–6:45 PM** → AI demo / learning nugget
* **6:45–7:00 PM** → Q&A and group discussion
* **7:00–8:00 PM** → Networking & contact sharing
⚡ Please hold networking until after the presentation so we can all learn together. Plenty of time at the end to connect and exchange cards!
**Let's explore AI Tools that actually *work* in our day-to-day life!**
***
#ChatGPT #Claude #Grok #Gemini #Perplexity #DeepSeek #NotebookLM #Cursor #GitHubCopilot #Replit #Windsurf #v0dev #Lovable #Zapier #Makecom #n8n #Descript #OpusClip #Synthesia #Runway #Sora #Kling #Veo #PikaLabs #LTXStudio #AdobeFirefly #Vidu #Hailuo #LumaDreamMachine #Wisecut #Elaiio #Capsule #Filmora #Gling #Magisto #AdobePremierePro #ElevenLabs
#Suno #Udio #Soundraw #Riffusion #Mubert #BeatovenAI #AIVA #Loudly #SplashPro #Soundful #MagentaStudio #WavTool #MakeBestMusic #BandLabSongStarter #TadAI #EcrettMusic
#Midjourney #DALLE3 #CanvaMagicStudio #NotionAI #Gamma #Fathom #FirefliesAI #MLX
Introduction to Japanese Calligraphy
🖌️Learn the elegant art of Japanese🖌️Calligraphy in a single, focused project!
👉**Registration** is **Online Only** at: https://portal.nova-labs.org/event-6658078 ***(No drop-ins accepted.)***
🕒**When:** Sunday, 31 May 2026, 10:30 AM - 12:00 PM
📍**Where:** Nova Labs, 3850 Jermantown Rd, Fairfax, VA 22030
**Details:** Learn the elegant art of Japanese Calligraphy in a single, focused project! We'll teach you how to properly use and care for the tools. By the end of class, you will create a beautiful, inspirational Japanese word on Hanshi paper to display proudly in your home. Start your calligraphy journey today!
This class includes the Brushes that you'll need in this class so you can keep practicing on your own!
Children are welcome, but registration is required. Any child under 12 must be registered and attend with a parent or guardian.
⚠️ HOW TO REGISTER
An RSVP on Meetup does NOT reserve your spot. Please register via the link below to attend. No walk-ins or drop-ins accepted.
👉**Registration** is **Online Only** at: https://portal.nova-labs.org/event-6658078
0 to 1 with AI: Real Product Talks
**ProductTank NoVA is back!**
After a brief hiatus, we are relaunching the chapter with a format that cuts out the fluff and gets straight to the reality of building.
Every product feed is flooded with AI hype right now, but what does it actually look like on the ground? Instead of a polished keynote, we are hosting **0 to 1 with AI: Real Product Talks**—a "Show & Tell" featuring 3–4 lightning talks focused on the intersection of AI and product.
The framing for the talks is simple: *"Here is what I'm building, and here is what I'm stuck on."* We want to look at the messy, 0-to-1 reality of integrating AI into your workflows and products.
*(Want to share what you are working on? Reach out! The bar is low-pressure, just 10–12 minutes to talk about a real AI problem you are trying to solve.)*
**Agenda:**
* **5:30 PM - 6:00 PM:** Doors open, networking, & name tags
* **6:00 PM - 6:10 PM:** Welcome + Chapter Relaunch Intro
* **6:10 PM - 7:30 PM:** Lightning Talks (Three 12-min talks + 5 mins Q&A each, with a 5-min stretch break)
* **7:30 PM - 8:00 PM:** Open networking
* **8:00 PM:** Soft close
**Location & Logistics:** Herndon Fortnightly Library (Extended Hours Meeting Room) 768 Center St, Herndon, VA 20170
* **Parking:** We'll meet at the library, located just behind the Herndon Municipal Center. There is plenty of free public parking available around the municipal center.
* **Metro & Bus:** Take the Silver Line to Herndon Metro Station, then connect via Fairfax Connector Route 921 or 950 to Historic Downtown Herndon.
* **Driving (via VA-267/Dulles Toll Rd):** Take Exit 10 North (Centreville Rd, which becomes Elden St). Turn left onto Station St or Lynn St.
* **Driving (via VA-286/Fairfax Co Pkwy):** Take the Elden St West exit. Turn right onto Lynn St.
Looking forward to seeing everyone again and getting back to building!
Backpack - Mount Rogers (22 Miles) - 3 Days
**IMPORTANT -** If you are not 100% committed please do ***not RSVP.*** No shows will be de-propritized for future events.
Lets do a 2-night backpacking trip over Memorial Day weekend!
The Mount Rogers/Grayson Highlands loop hike is an iconic section of the Appalachian Trail, located in the southwestern hills of Virginia within the Jefferson National Forest.
This region is best known for its vast mountain views and alpine peaks with **wild ponies** roaming about. This area is also home to Virginia's highest point, Mount Rogers, sitting at 5,729'. This is a premier east-coast backpacking destination, so don't miss this one.
## **Trail Facts**
* **Difficulty Level:** Moderate
* **Length:** 21.4 Miles
* **Duration:** 3 Days
* **Elevation Gain:** 3,898 Feet
* **Bear Canisters:** Not Required
* **Permits:** None
* **Dogs**: Allowed
* **Meetup/Carpool:** Vienna Metro South
* **Trailhead Parking:** 36.6893579, -81.5320954
* **AllTrails Map**: https://www.alltrails.com/explore/map/mount-rogers-and-appalachian-trail-loop-958adb5?u=i&sh=rak641
**Trail Details:**
We will meet at The Vienna Metro station on Saturday morning at 8am and drive to the Mt Rogers Trailhead (off Rt 603). This parking lot is **NOT** the paid lot near Masie Gap, and so can fill up. I'd like to try to get there as early as possible.
The drive is about 5 hours. I will drive and am happy to have others carpool with me - but please note, I will have my small black labrador in the back seat.
**Day 1**
After we park, we will hike about 7 miles to our campsite, diverting once to summit Mt Rogers. There arent any views here, but it's worth the .3 miles to say you've been to the highest point in VA! We will camp on the first night at the scenic tent sites near the Thomas Knob Shelter on the AT. There is water at this site and we may see wild ponies if we're lucky.
**Day 2**
The second day is about 10.7 miles, which includes spectacular views, unique rock formations and wide open grassy meadows. We will camp near the Old Orchard Shelter. There is a spring with water at this site as well.
**Day 3**
The third day will be a short 3.5 mile hike from camp back to the cars. Getting to the cars early will mean that we should get back to DC around 4-5pm. On the drive home, I plan to stop at Martin's in downtown Roanoke (413 1st St SW, Roanoke, VA 24011).
**Essential Items**:
* Tent
* Sleeping pad
* Sleeping bag suitable for expected temperatures
* Backpack (appropriate for overnight backpacking)
* Backpacking stove with fuel
* Pot, cup, dish, and utensils
* Dehydrated meals and snacks
* Water bottles or hydration system (capacity for at least 2 liters)
* Water filter or purification tablets
* Headlamp with extra batteries
* Rain gear
* Dry bags or pack cover
* Warm clothing layers (non-cotton)
* Trowel for and toiletries for Leave-No-Trace compliance
**Optional Items**:
* Personal first aid kit
* Map and compass or GPS device
* Power bank or external battery
* Trekking poles
* Camp shoes
* Electrolyte supplements
* Alcohol
* Books, games, or other enterainment
* Gaiters
* Sunscreen, lip balm, insect repellent
**CARPOOL:** Don't forget if you want a ride or are willing to offer a ride – be a friend to the environment, save money, and make friends.
**LIABILITY NOTICE:**
Please remember that this group operates under the common adventurer model. We are a group of friends and volunteers organizing trips for fun and shared experience. Participants are expected to be familiar with best hiking practices and choose hikes that align with their physical abilities and experience. Organizers and members are not liable for any injuries, loss, or damage to persons or property arising from group activities. By attending this event, you agree to assume all risks associated with the activity.
For more information on the common adventurer model, please see [Ron Watters' definition](https://www.ronwatters.com/CADefine.htm).
If you believe you may be lost during the hike, follow the advice of the [US Forest Service](https://www.fs.usda.gov/visit/know-before-you-go/if-you-get-lost).
See you on the trail!
Learn all things Data Science and Compete on Kaggle
We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)







