Ep8: Luck Favors The Prepared + LLM Graph Builder Tool Breaktime Tech Talks podcast

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We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…

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Ep8: Luck Favors the Prepared + LLM Graph Builder Tool

לפני שנה 8:25

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תוכן מסופק על ידי jmhreif. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי jmhreif או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Do you ever feel like some people have all the luck? Sometimes we need to see things in a new light to break through the barrier or overcome the obstacle. Plus, I took a look at a new-ish tool from Neo4j called the LLM Graph Builder. I’ll give a quick intro on that, plus what I’m doing with it and how it’s going.

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Ep8: Luck Favors the Prepared + LLM Graph Builder Tool

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תוכן מסופק על ידי jmhreif. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי jmhreif או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Do you ever feel like some people have all the luck? Sometimes we need to see things in a new light to break through the barrier or overcome the obstacle. Plus, I took a look at a new-ish tool from Neo4j called the LLM Graph Builder. I’ll give a quick intro on that, plus what I’m doing with it and how it’s going.

… continue reading

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#Tech #News #Tech News #jmhreif

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Ep40: Recent AI learnings + More than a vector database 10:24

לפני 5 ימים10:24

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Fresh from the Arc of AI conference , I’m unpacking the biggest insights that stuck with me—ranging from the extremes of AI’s capabilities to the deeper implications for how we build and maintain our tech systems. I’ll also share a new blog post and code repo I published on loading data into Pinecone, some next-gen tools I’m eyeing, and thoughts on a great article from the Redis blog about why vector databases aren’t enough . Navigate the evolving landscape of LLMs, generative AI, and modern infrastructure with me in this episode.…

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Ep39: Why embedding models should match + Advice for starting a blog 13:36

לפני 12 ימים13:36

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In this podcast episode, hear about my hands-on experience ( code repository on Github ) understanding the importance of using the same embedding models for both creating and searching vector embeddings in databases and how mismatched models can lead to poor search results. I also pull highlights from an article with advice for those interested in blogging , and how it particularly relates to my own approach to tech blogging.…

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Ep38: Spring AI Debugging + How to Contribute to Open Source 13:25

לפני 26 ימים13:25

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In this episode, I continue my journey with vector databases, integrating Pinecone , Neo4j , and Spring AI . While making some progress, I also encountered hurdles, such as evolving APIs and the unique architecture of vector stores. Next, I share insights from an article on contributing to open-source projects , how it can accelerate your career and enhance both your technical and soft skills. From picking the right project to building credibility within the community, it's a series of steps that gets better with time and practice!…

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Ep37: Vector Database Frustration + Microsoft LazyGraphRAG 12:22

לפני 5 weeks12:22

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In this episode, I discuss my challenges exploring vector databases for an upcoming demo. From what is a vector database to integration issues, hear how I tried a few different approaches with limited success and discover the surprising one with the most promise. I also explore Microsoft's "Lazy Graph RAG" approach, which seems to trade one challenge for another but could be valuable in certain cases.…

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Ep36: What is a Developer Advocate + Balancing Digital Consumption 11:27

לפני 7 weeks11:27

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This week, I explored the Javalin Java framework and project decisions I'm trying to make. I also answer: What exactly does a Developer Advocate/Evangelist/Devrel do? Finally, I reflect on an article on balancing digital consumption with actual productivity.

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Ep35: Vector Databases + Building Effective Agents 8:53

לפני 8 weeks8:53

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In this episode, there are two topics I'm looking forward to diving deeper into: vector databases and AI agents. I'm particularly interested in understanding how vector databases work, how they work with data, and their role in AI applications. Then I share my thoughts on Anthropic’s article about Building AI Agents , which discusses their varying definitions—from simple workflows to fully autonomous systems—and provides practical examples. The article highlights the importance of starting simple, adding complexity only as needed.…

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Ep34: Outlines and Iterating + Lessons from Grace Hopper 13:21

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In this podcast episode, hear my process of preparing for an upcoming conference with insights on how outlines enhance presentations and blog posts, as well as code and architecture. Also discuss how constant improvement is key with an online course as an example. Finally, I highlight a historical read on cryptography , and share reflections from Grace Hopper's 1982 lecture on data, hardware, and software , drawing connections between her insights and modern challenges in technology.…

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Ep33: Cypher DSL examples + Crowd-source AI hacking 8:58

לפני 10 weeks8:58

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In this episode, I share recent blog posts. The first is about tackling challenges with GitHub repositories , offering solutions on syncing forks and using git rebasing, diffs, and pruning. Next, I created examples with Cypher DSL , providing beginner-friendly details to help users get started. Additionally, I started prepping for the Devnexus conference , where I'll be delivering my first keynote. I also read an article about an intriguing AI testing project where a user successfully manipulated an AI to break its rules and win a $50,000 prize, illustrating the potential challenges AI systems face in handling sensitive tasks.…

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Ep32: Official CLI + Bread Code Framework 10:32

לפני 11 weeks10:32

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10:32

In this episode, I’m following up on a few things I’ve mentioned before. I dive into some updates on the Aura CLI (the official product version). I also explored the Neo4j GenAI Java library a bit more, including a connection hiccup I ran into with Neo4j Desktop. Then, I get into my experience with the Cypher DSL library and how Cypher fits into the retrieval part of RAG systems. Finally, I take a fun detour into an interesting article about a GitHub repository that combines coding and sourdough baking . It’s a cool reminder that the skills we learn in coding can apply to all sorts of other areas, even in the kitchen!…

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Ep31: Database CLI + Containerization Refcard 9:31

לפני 12 weeks9:31

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In this episode, hear updates on a few projects, including Neo4j's new Aura CLI and NeoConverse . Plus, the promised blog post from last week's episode on Spring Data Neo4j entity updates . Shout-out to the JAXJUG and TampaJUG groups. If you're not involved with a tech group, there are options! Finally, a review of the DZone RefCard on Java containerization with its clear guidance on Docker containers, native builds, and deployment, making complex concepts more accessible for developers.…

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Ep30: SDN update entity + Knowledge Graph ebook 9:06

לפני 13 weeks9:06

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Dive into my latest experiences with Spring Data Neo4j, specifically exploring new methods for updating nodes. After revisiting my 2023 blog post on this topic, I share insights on custom Cypher queries and projections . I also discuss the challenges of finding good examples for update operations. In addition, Neo4j announced the release of The Developer's Guide: How to Build a Knowledge Graph , a new ebook I co-authored. Hear my challenges of writing the book, including finding the right dataset for graph queries, working through product updates during the writing process, and the complexities of collaborating across different perspectives. Stay tuned for future updates, as we continue to refine this ever-evolving resource.…

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Ep29: Neo4j GenAI plugin + How-To for Technical Content 10:16

לפני 14 weeks10:16

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In this episode, dive into a few exciting areas I've been exploring, including generative AI and graph technologies. I worked with Neo4j’s generative AI plugin for an experiment, and it wasn't all smooth sailing. Next, my highlights from an article in the Descript community on how to expand your educational YouTube audience —especially applied for those creating technical content. Key tips include thinking like a viewer to ask great questions, tweaking video intros to keep people engaged, and channeling viewer interests to strengthen connections.…

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Ep28: 2024 Recap, 2025 Look-Ahead + Always Be Launching 12:32

לפני 16 weeks12:32

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12:32

Take a moment to reflect on 2024, exploring highlights in AI advancements, personal growth, and professional achievements, along with exciting 2025 goals. Then delve into an article that discusses marketing strategies but aligns well with developer advocacy.

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Ep27: Lexical vs Semantic Search + Downside of Vector Databases 8:54

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Explore the distinction between lexical and semantic search technologies, the growing use of vector databases , and the potential challenges and solutions that may arise as these technologies mature.

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Ep26: Git Troubles + Dungeons & Dragons Graph 11:43

לפני 19 weeks11:43

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Git issues, finally resetting local branch , cherry-picking , and cleaning up . Then a fun graph presentation - Dungeons, Dragons, and Graph Databases .

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