A bite-sized tech podcast for busy developers where we’ll briefly cover technical topics, new snippets, and more in short time blocks. Your host, Jennifer Reif, is an avid developer and problem-solver with special interest in data, learning, and all things technology.
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GraphStuff.FM: The Neo4j Graph Database Developer Podcast
Jason Koo, Jennifer Reif, Andreas Kollegger, Alison Cossette
New to networks? Looking into links? Realising the relevance of relationships? Welcome to GraphStuff, your one-stop podcast for all things connected. Join your hosts Jennifer Reif, Andreas Kollegger, Alison Cossette, Jason Koo and guests as they dive into the world of graph databases. They’ll cover everything from how they’re constructed and where they’re used; introductory to advanced topics from modeling data to finished applications, highlighting best practices and showcasing tools and op ...
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Ep34: Outlines and Iterating + Lessons from Grace Hopper
13:21
13:21
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13:21In 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 Gr…
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Ep33: Cypher DSL examples + Crowd-source AI hacking
8:58
8:58
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8:58In 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 confer…
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Ep32: Official CLI + Bread Code Framework
10:32
10:32
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10:32In 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 th…
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Ep31: Database CLI + Containerization Refcard
9:31
9:31
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9:31In 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 container…
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Ep30: SDN update entity + Knowledge Graph ebook
9:06
9:06
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9:06Dive 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 Deve…
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Ep29: Neo4j GenAI plugin + How-To for Technical Content
10:16
10:16
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10:16In 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 t…
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Topics: Trends/Events over the year GQL release https://neo4j.com/blog/cypher-gql-world/ GraphRAG https://neo4j.com/blog/graphrag-manifesto/ Memorable events/experiences NODES 2024, obviously :) https://neo4j.com/nodes2024/agenda/ GenAI Graph Gathering AI Eng World Fair Neo4j product releases? New Aura console LLM KG Builder https://neo4j.com/labs/…
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Ep28: 2024 Recap, 2025 Look-Ahead + Always Be Launching
12:32
12:32
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12:32Take 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.By jmhreif
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Ep27: Lexical vs Semantic Search + Downside of Vector Databases
8:54
8:54
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8:54Explore 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.By jmhreif
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Ep26: Git Troubles + Dungeons & Dragons Graph
11:43
11:43
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11:43Git issues, finally resetting local branch, cherry-picking, and cleaning up. Then a fun graph presentation - Dungeons, Dragons, and Graph Databases.By jmhreif
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Speaker Resources: NODES 2024 YouTube playlist: https://www.youtube.com/playlist?list=PL9Hl4pk2FsvU6t-fXNeQfkpnmgMm4w5h3 NODES 2024 agenda webpage: https://neo4j.com/nodes2024/agenda/ Highlighted sessions: Building a Perfect Supply Chain Chatbot: https://www.youtube.com/watch?v=ksbfgGYQy5M&list=PL9Hl4pk2FsvU6t-fXNeQfkpnmgMm4w5h3&index=27 Fireside C…
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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.By jmhreif
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Ep24: Graph Data Science + Building Knowledge Graphs
9:57
9:57
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9:57This 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.By jmhreif
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Ep23: Spring Data Neo4j course + Event recap
14:58
14:58
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14:58Hear learnings from the new Spring Data Neo4j course - building blocks, updates/deletes, and modeling. Then recap XtremeJ and NODES 2024, + upcoming at CJUG.By jmhreif
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Ep22: LLM Graph Builder + Devrel unlocks “aha” moment
11:12
11:12
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11:12In 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.By jmhreif
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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.By jmhreif
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Catching Bad Guys using Graph Entity Resolution with Paco Nathan
46:31
46:31
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46:31Speaker Resources: Neo4j+Senzing Tutorial: https://neo4j.com/developer-blog/entity-resolved-knowledge-graphs/#neo4j When GraphRAG Goes Bad: A Study in Why you Cannot Afford to Ignore Entity Resolution (Dr. Clair Sullivan): https://www.linkedin.com/pulse/when-graphrag-goesbad-study-why-you-cannot-afford-ignore-sullivan-7ymnc/ Paco’s NODES 2024 sessi…
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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.By jmhreif
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Explore agents in AI, distinguishing them from RAG (article1, article2). And discuss naming and the importance of conveying relevance and clarity.By jmhreif
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Ep18: What is Vector search + JConf/Dev2next experiences
10:59
10:59
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10:59Want 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.By jmhreif
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Ep17: Using Asciidoc for Tech Content + Current Productivity Reads
10:19
10:19
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10:19The 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.By jmhreif
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Graph Visualization and Storytelling with Michela Ledwidge
50:19
50:19
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50:19Speaker Resources: Mod: https://mod.studio/rd/grapho/ Michela's NODES 2024 session: https://neo4j.com/nodes2024/agenda/spatial-graph-visualisation-and-storytelling-with-grapho-xr/ NeoDash: https://neo4j.com/labs/neodash/ Tools of the Month: Google Notebook LM: https://notebooklm.google/ HeyGen (AI Digital Avatar): https://www.heygen.com IntelliJ ID…
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Ep16: Mapping Relationships in Applications + Software Estimates
10:23
10:23
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10:23Documenting 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.By jmhreif
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Ep15: What is GraphRAG + Developing Better Software
11:36
11:36
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11:36The term GraphRAG has recently popped up in the current AI industry, so I review a blog post on what it is and how it fits into the current landscape. I also read an article on ways to improve software development.By jmhreif
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Ep14: Making Tech Relatable + Java Entity Mapping
8:47
8:47
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8:47I’m always refreshing my memory and learning new things. How to explain technical concepts to broader audiences, then a question from the community took me into the Java driver docs and entity mapping/OGMs.By jmhreif
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Ep13: GraphQL vs GQL vs Cypher + Road to NODES
9:29
9:29
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9:29Happy Fall! This week, we talk about confusion around GraphQL, GQL, and graph query languages. Then, I am excited to gear up for NODES 2024 by showcasing pre-conference workshops called Road to NODES!By jmhreif
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Making Invisible Connections Visible with Tim Eastridge
37:54
37:54
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37:54Speaker Resources: Eastridge Analytics: https://www.eastridge-analytics.com/ Graph Data Science with Python and Neo4j book: https://a.co/d/hkfkxPr LinkedIn profile: https://www.linkedin.com/in/timeastridge/ NODES 2024 (look for more info on Tim's talk soon!): https://dev.neo4j.com/nodes24 Neo4j GraphAcademy: https://graphacademy.neo4j.com/ Graph Al…
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This week, we discuss retrieval augmented generation (RAG) and how it’s being used to improve responses (or prevent hallucinations) from an LLM. We also chat about an article on how tech conferences have changed and how you can still find value in speaking or attending, plus how to justify the benefits at your organization.…
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Ep11: What is a Knowledge Graph + DevUp Conference
9:26
9:26
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9:26A recent blog post defines "knowledge graph", a term that has been around awhile and is part of many recent AI conversations. And then we chat about the DevUp conference I attended last week. Hopefully my thoughts will help you decide how to choose the best event for you.By jmhreif
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Ep10: What are embeddings + LLM use case and prompt
7:35
7:35
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7:35With the amount of new information, sometimes it’s hard to review earlier concepts. In this episode, we explain what an embedding is and talk about aligning your prompt with your use case for improving LLM answers (example app code repository).By jmhreif
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Ep9: Graphs for Conference Scheduling + Spring AI 1.0
9:57
9:57
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9:57In preparing for the NODES 2024 conference, I’ll talk about how my colleague and I made scheduling easier by using Neo4j (a database). Spring AI also moved to a 1.0 milestone, and I’ll talk about the easier-than-expected migration (more in my related blog post).By jmhreif
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Ep8: Luck Favors the Prepared + LLM Graph Builder Tool
8:25
8:25
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8:25Do 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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Pragmatic Knowledge Graphs with Ashleigh Faith
52:17
52:17
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52:17Speaker Resources: Ashleigh’s YT Channel: https://www.youtube.com/@AshleighFaith Tools of the Month: Abk: Any Airline using Windows 3.1 😆 Ashleigh: Zentity: https://zentity.io/ Jason: Cypher Co-pilot: https://neo4j.com/developer-blog/cypher-co-pilot/ Alison: System https://www.system.com Announcements / News: Articles: Turning Your Tabular Data Int…
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Ep7: Deploying Neo4j on Kubernetes + Parallel Relationship Loading
8:12
8:12
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8:12I now have a code repository and blog post for Neo4j+Kubernetes. We also chat about another blog post on how to solve a deadlock with parallel relationship loading.By jmhreif
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Ep6: Maintaining Personal Website + Git Submodules
9:11
9:11
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9:11A few years ago, I built a website for my technical blog. Find out how I solved this year's bug. Through the process, we'll discuss git submodules and how to use them.By jmhreif
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Ep5: AI Jargon for Developers and KCDC Highlights
11:57
11:57
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11:57AI seems to be everywhere in the tech industry right now….but it comes with a lot of new technical jargon. Let's explain vectors - what they are and how they are being used in tech. Then, we’ll give a quick highlight and shout-out to the Kansas City Developer Conference.By jmhreif
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Ep4: Where’s the Graph Data Type in Programming Languages?
9:05
9:05
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9:05How do you manipulate or handle a graph in languages like Java, Python, and more, and why can it be so difficult? In this episode, we discuss the blog post The Hunt for the Missing Datatype by Hillel Wayne and his thoughts on why programming languages might avoid the graph data type.By jmhreif
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Docker, AI, and More: Catch a Glimpse of the Java Ecosystem with Oleg Šelajev
45:25
45:25
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45:25Speaker Resources: Testcontainers https://testcontainers.com/ NODES 2024 https://dev.neo4j.com/nodes24 Tools of the Month: Neo4j Kubernetes documentation https://neo4j.com/docs/operations-manual/current/kubernetes/ ragas framework https://ragas.io/ Haiper.ai https://haiper.ai/home (Neo4j GenAI Package + DreamStudio.ai) Announcements / News: Neo4j G…
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Ep3: Current Tech Read and Exploring Kubernetes
9:27
9:27
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9:27Chat about my current tech read (Where Wizards Stay Up Late) about technology history, touching on networking, internet, and AI. Exploration of Kubernetes (running Neo4j and application) using guidance from Sebastian Daschner's blog post on Deploying a Neo4j cluster on manager Kubernetes.By jmhreif
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Today, we debug a Spring AI application and review Adam Cowley's blog post on optimizing Cypher statements with popular nodes!By jmhreif
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Ep1: Meet Breaktime Tech Talks + Devnexus Summary
8:25
8:25
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8:25Today, 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.By jmhreif
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Getting the Word out on Knowledge Graphs with Leann Chen
49:24
49:24
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49:24Speaker Resources: Diffbot https://www.diffbot.com/ Tomaz Bratanic’s Medium blog: https://bratanic-tomaz.medium.com/ What is DSP/DSPy? https://github.com/stanfordnlp/dspy Tools of the Month: cypher-shell command line tool https://neo4j.com/docs/operations-manual/current/tools/cypher-shell/ Langchain/Diffbot graph transformer https://python.langchai…
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Net Zero Decarbonization with Henry Bruce and Mike Napper from ExpectAI
1:07:40
1:07:40
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1:07:40Speaker Resources: ExpectAI: www.expectai.com Tools of the Month: Descript https://www.descript.com/ LLM Graph Builder by Neo4j https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/ LangSmith https://www.langchain.com/langsmith Obsidian https://obsidian.md/ Announcements / News: NODES 2024: Submit Your Talk https://neo4j.com/blog/nodes-by-neo4j…
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Providing Better Business Intelligence with Vish Puttagunta
49:32
49:32
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49:32Tools of the Month: apoc.create.vRelationship https://neo4j.com/docs/apoc/current/overview/apoc.create/apoc.create.vRelationship/ GenAI Starter Kits for Langchain, LlamaIndex, Spring.AI and Semantic Kernel, covering the most popular orchestration frameworks in Python, Java, and dotnet. https://neo4j.com/labs/genai-ecosystem/ Vish: Vector support in…
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RAG Databases with Johannes Jolkkonen: When to Choose a Graph Database vs Alternative Vector or Relational Stores
50:53
50:53
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50:53Speaker Resources: Johannes Jolkkonen: https://www.linkedin.com/in/johannesjolkkonen/ Johannes's YouTube channel: https://www.youtube.com/@johannesjolkkonen Mar 12 Neo4j Live session: https://www.meetup.com/neo4j-online-meetup/events/299526466/ Tools of the Month: PDF-bot chunker (GenAI stack): https://github.com/docker/genai-stack/blob/main/pdf_bo…
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GenAI solutions with LangChain: Lance Martin on LLMs, agents, evals, and more!
52:04
52:04
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52:04Tools of the Month: Streamlit https://streamlit.io/ Ollama https://ollama.ai/ Git https://git-scm.com/ Speaker Resources: LLMs as kernel of a new kind of OS https://twitter.com/karpathy/status/1707437820045062561?s=20 LangChain and LangServ Templates Apps (Neo4j example) https://www.youtube.com/watch?v=OV2ZIWFBe0s, https://docs.google.com/presentat…
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LlamaIndex and More: Building LLM Tech with Jerry Liu
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43:14
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43:14Tools of the Month: Remix for data-driven websites https://remix.run/ HTTPie: https://httpie.io/cli Pypeteer https://github.com/pyppeteer/pyppeteer Rectangle https://rectangleapp.com/ Fireflies.ai https://fireflies.ai/ Video Speed Controller https://chromewebstore.google.com/detail/video-speed-controller/gioehmkjkeamcinbdelehlpnpdcdjpdp?pli=1 Produ…
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2023 Finale: LLMs and Knowledge Graphs throughout the year
59:29
59:29
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59:29Tools of the month: APOC OpenAI procedures: https://neo4j.com/labs/apoc/5/ml/openai/ Warp terminal: https://www.warp.dev/ Ollama for running LLMs: https://ollama.ai/ Graphacademy courses: LLM Fundamentals: https://graphacademy.neo4j.com/courses/llm-fundamentals/ Build a Neo4j-backed Chatbot using Python: https://graphacademy.neo4j.com/courses/llm-c…
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NODES 2023: Behind the Scenes, Highlights, and More!
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50:28NODES 2023 YouTube playlist: dev.neo4j.com/nodes-2023 Tools of the Month: Spring AI: https://docs.spring.io/spring-ai/reference/ LangSmith: https://www.langchain.com/langsmith Cody AI: https://about.sourcegraph.com/cody Community Project(s): AD Miner: https://github.com/Mazars-Tech/AD_Miner Product Updates: Vector Search Index (5.13 GA): https://ne…
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neo4cyclone: https://github.com/javixeneize/neo4cyclone Neomodel: Python OGM for Neo4j Extends Version Support and Moves to Neo4j Labs: https://neo4j.com/developer-blog/neomodel-python-ogm-neo4j-labs/ Getting From Denmark Hill to Gatwick Airport With Quantified Path Patterns: https://neo4j.com/developer-blog/denmark-hill-to-gatwick-airport-quantifi…
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