Ep42: RAG and Java + AI-generated content and MCP

Breaktime Tech Talks

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The Final Flight of Captain Forrester

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The Final Flight of Captain Forrester | 1. The Mystery of Tiny 05 38:05

לפני 16 ימים38:05

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38:05

In late 1972, U.S. Marine Captain Ron Forrester disappeared on a bombing run into North Vietnam. Back home in Texas, his family could only wait and hope. Audio subscribers to Texas Monthly can get early access to episodes of the series, plus exclusive interviews and audio. Visit texasmonthly.com/audio to join. Go to HelloFresh.com/FLIGHT10FM to get 10 Free Meals with a Free Item For Life.…

לפני 13 ימים 12:33

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Star Wars Day is nearly here, and this episode is stacked with tech goodness to celebrate! I’m diving into highlights from the Neo4j ecosystem, starting with an early look at the Using Neo4j with Java course—perfect for getting started with the Java driver in a framework-less setup.

Also in this episode:

⚙️ Behind-the-scenes of APOC + Pinecone integration
✨ Part 2 of my Intro to Retrieval Augmented Generation series
🎥 My recent guest spot on Neo4j Live, discussing the Developer’s Guide to Building a Knowledge Graph
🤖 A fascinating series on an AI content experiment from Mark Heckler
📚 Michael Hunger’s must-read blog on the Model Context Protocol (MCP)

May the Fourth be with you!

43 פרקים

#Tech #News #Tech News #jmhreif

Ep42: RAG and Java + AI-generated content and MCP

Breaktime Tech Talks

published לפני 13 ימים

שתפו

MP3•בית הפרקים

Also in this episode:

⚙️ Behind-the-scenes of APOC + Pinecone integration
✨ Part 2 of my Intro to Retrieval Augmented Generation series
🎥 My recent guest spot on Neo4j Live, discussing the Developer’s Guide to Building a Knowledge Graph
🤖 A fascinating series on an AI content experiment from Mark Heckler
📚 Michael Hunger’s must-read blog on the Model Context Protocol (MCP)

May the Fourth be with you!

43 פרקים

#Tech #News #Tech News #jmhreif

כל הפרקים

1
Ep43: MCP Java SDK + Naive RAG vs GraphRAG 11:18

לפני 6 ימים11:18

11:18

In this episode, we dive into the latest upgrades in Neo4j tooling, along with recent bug fixes and enhancements in the LLM Knowledge Graph Builder . We also explore a new preview feature for Java object mapping in the Neo4j Java driver and check out the MCP Java SDK . Next, we highlight the new " Using Neo4j with Java " course on GraphAcademy and unpack a compelling Weaviate article on RAG vs. GraphRAG , featuring Microsoft’s GraphRAG methodology. Whether you're a Java dev, graph enthusiast, or AI-curious, there's something in here for you!…

1
Ep42: RAG and Java + AI-generated content and MCP 12:33

לפני 13 ימים12:33

12:33

Star Wars Day is nearly here, and this episode is stacked with tech goodness to celebrate! I’m diving into highlights from the Neo4j ecosystem, starting with an early look at the Using Neo4j with Java course —perfect for getting started with the Java driver in a framework-less setup. Also in this episode: ⚙️ Behind-the-scenes of APOC + Pinecone integration ✨ Part 2 of my Intro to Retrieval Augmented Generation series 🎥 My recent guest spot on Neo4j Live , discussing the Developer’s Guide to Building a Knowledge Graph 🤖 A fascinating series on an AI content experiment from Mark Heckler 📚 Michael Hunger’s must-read blog on the Model Context Protocol (MCP) May the Fourth be with you!…

1
Ep41: Spring AI M7, NODES, RAG + Neo4j, Quarkus, and Intelligent Apps 11:46

לפני 20 ימים11:46

11:46

In this episode, we unpack a busy week of updates, learning, and cool tech! From Spring AI’s milestone 7 release with simplified Pinecone configuration to some tricky wifi, I walk through recent changes and adventures. Plus, NODES 2025 is officially announced , and there’s hints of our upcoming GraphAcademy Java course. I also talk about the first part of my new blog series on Retrieval Augmented Generation and highlight a fantastic article on Neo4j, Quarkus, and intelligent applications .…

1
Ep40: Recent AI learnings + More than a vector database 10:24

לפני 5 weeks10:24

10:24

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.…

1
Ep39: Why embedding models should match + Advice for starting a blog 13:36

לפני 6 weeks13:36

13:36

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.…

1
Ep38: Spring AI Debugging + How to Contribute to Open Source 13:25

לפני 8 weeks13:25

13:25

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!…

1
Ep37: Vector Database Frustration + Microsoft LazyGraphRAG 12:22

לפני 9 weeks12:22

12:22

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.…

1
Ep36: What is a Developer Advocate + Balancing Digital Consumption 11:27

לפני 11 weeks11:27

11:27

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 12 weeks8:53

8:53

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

לפני 13 weeks13:21

13:21

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.…

1
Ep33: Cypher DSL examples + Crowd-source AI hacking 8:58

לפני 14 weeks8:58

8:58

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.…

1
Ep32: Official CLI + Bread Code Framework 10:32

לפני 15 weeks10:32

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!…

1
Ep31: Database CLI + Containerization Refcard 9:31

לפני 16 weeks9:31

9:31

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 17 weeks9:06

9:06

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.…

1
Ep29: Neo4j GenAI plugin + How-To for Technical Content 10:16

לפני 18 weeks10:16

10:16

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.…

1
Ep28: 2024 Recap, 2025 Look-Ahead + Always Be Launching 12:32

לפני 20 weeks12:32

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.

1
Ep27: Lexical vs Semantic Search + Downside of Vector Databases 8:54

לפני 21 weeks8:54

8:54

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.

1
Ep26: Git Troubles + Dungeons & Dragons Graph 11:43

לפני 23 weeks11:43

11:43

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

1
Ep25: Github Actions + AI Coding Assistant 8:56

לפני 24 weeks8:56

8:56

In this episode, hear some positive tech experiences from the week: the upgrade from GitHub Actions ( upload/download artifact ) to v4 through a 3rd party repo , and the new AI coding assistant feature in IntelliJ IDEA.

1
Ep24: Graph Data Science + Building Knowledge Graphs 9:57

לפני 25 weeks9:57

9:57

This episode, my refresher with the Graph Data Science library with highlights and challenges. Then an overview of the Building Knowledge Graphs book , a guide on everything from concepts to technical details.

1
Ep23: Spring Data Neo4j course + Event recap 14:58

לפני 26 weeks14:58

14:58

Hear learnings from the new Spring Data Neo4j course - building blocks, updates/deletes, and modeling. Then recap XtremeJ and NODES 2024 , + upcoming at CJUG .

1
Ep22: LLM Graph Builder + Devrel unlocks “aha” moment 11:12

לפני 27 weeks11:12

11:12

In this episode, get my latest experiences with the Neo4j LLM Graph Builder , both the benefits and challenges. Then, an article focusing on the concept of the "Aha moment" —a key moment when developers discover the value of a technology.

1
Ep21: Data is cool + NODES 2024 preview 9:32

לפני 28 weeks9:32

9:32

In this episode, hear why data (a less glamorous topic) is actually fascinating and crucial. Then, look forward with a preview of next week's NODES 2024 event, which features a range of sessions on graph technologies, AI, data science, and security. Finally, get a teaser for the next episode.

1
Ep20: What is a graph + Goodhart’s Law 8:24

לפני 29 weeks8:24

8:24

Cover the basics of graphs , explaining mathematical roots and applications. Introduce Goodhart's Law and highlight the risks of over-focusing on metrics, whether in tech or personal growth.

1
Ep19: RAG vs Agents + Naming Things 10:21

לפני 30 weeks10:21

10:21

Explore agents in AI, distinguishing them from RAG ( article1 , article2 ). And discuss naming and the importance of conveying relevance and clarity.

1
Ep18: What is Vector search + JConf/Dev2next experiences 10:59

לפני 31 weeks10:59

10:59

Want to take our previous vector topic a step further with vector similarity search . Then, I’ll give my thoughts on 2 recent tech conferences - JConf and dev2next .

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Ep17: Using Asciidoc for Tech Content + Current Productivity Reads 10:19

לפני 32 weeks10:19

10:19

The Asciidoc markup language is powerful and useful for developers and technical writing. Also highlighting productivity books - Atomic Habits and Deep Work - and applications for a developer.

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Ep16: Mapping Relationships in Applications + Software Estimates 10:23

לפני 33 weeks10:23

10:23

Documenting how to map relationship entities from a database to an application. Then, delving into one author’s viewpoint on software project estimates and some ideas to adapt this inaccurate process for better results.

לפני 48 weeks8:25

8:25

Today, we introduce the Breaktime Tech Talks podcast, chat about how it came about ( jmhreif blog + GraphStuff.FM podcast ), and provide a recap of the Devnexus conference .

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Breaktime Tech Talks « » Ep42: RAG and Java + AI-generated content and MCP

Ep42: RAG and Java + AI-generated content and MCP

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Ep42: RAG and Java + AI-generated content and MCP