Neo4j’s Post

❄ Looking forward to returning to Snowflake Data Cloud Summit next week as a Double Black Diamond Partner. Stop by booth #1517 in the South Hall of Moscone to learn about Matillion's support for Snowflake Cortex and Snowpark Container Services, and how we're jointly helping customers deliver on their AI initiatives. #snowflakesummit #matillion #snowflake

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit: Tutorial for GenAI beginners: let’s build a very simple RAG (Retrieval Augmented Generation) system locally, step-by-step. Continue reading on Towards Data Science » #MachineLearning #ArtificialIntelligence #DataScience

New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop with Harpreet Sahota 🥑 on June 26 - https://lnkd.in/gpmsY2Q4 In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop with Harpreet Sahota on June 26 - https://lnkd.in/g_NxFFDF In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop on Oct 30 with Harpreet Sahota 🥑. Register here 👉: https://lnkd.in/gRWmiqa6 In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

New to the open source FiftyOne computer vision toolset? Register for the next hands-on “Getting Started” workshop on October 30 with Harpreet Sahota 🥑- 👉 https://lnkd.in/gRWmiqa6 In the first part of this free 90 min the workshop we’ll cover: * FiftyOne Basics (terms, architecture, installation, and general usage) * An overview of useful workflows to explore, understand, and curate your data * How FiftyOne represents and semantically slices unstructured computer vision data The second half will be a hands-on introduction to FiftyOne, where you will learn how to: * Load datasets from the FiftyOne Dataset Zoo * Navigate the FiftyOne App * Programmatically inspect attributes of a dataset * Add new sample and custom attributes to a dataset * Generate and evaluate model predictions * Save insightful views into the data #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Monitoring 100k Clusters with Petabytes of Data in Real-time https://lnkd.in/g9iwVfCE Learn strategies and best practices to optimize performance on real-world use cases. Featuring a database known for ultrafast search, to deal with vector, relational, JSON, graph or time series data. This hands-on workshop is for developers and AI professionals, featuring state-of-the-art technology, case studies, code-share, and live demos. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session. #bigdata #vectordb #realtimeai

Come learn about FiftyOne with me!

If I was to submit a talk to Nodes 2024, what category would you want me to submit one? Each of these categories would be a great fit for one or more of our products: Applications: Libraries, Frameworks, and Platforms Obviously I could show how to use the yFiles library to create stunning graph visualizations from your graph data, integrating useful graph diagrams into your apps and dashboards. AI: Generative AI, Knowledge Graphs, and Retrieval-Augmented Generation Our DataExplorer for Neo4j is great at exploring knowledge graphs. And it uses GenAI to help you with querying your database as well as with designing your node templates. Data Science: Machine Learning, Graph Data Science, and AI Models Our set of Jupyter Notebook widgets are a perfect match for Graph Data Scientists looking to easily visualize their graph data and graph algorithm results. Graphs: Visualization, Data Integrations, and Tips & Tricks Again a perfect match for the most sophisticated graph visualization library in the market: yFiles allows you to create powerful experiences, integrates not just data from your graph database but any other source, too, and I can show you how to get the best out of data with visualization techniques you probably haven't seen elsewhere, before. So many choices... 🤔 💡

Interested in improving data-driven decision-making? Check out our article "Building Knowledge Graphs to Enhance Data-Driven Decision-Making." Learn how graph databases maintain performance with large datasets and efficiently capture data relationships using knowledge graphs. We explore building these graphs with OpenAI’s large language models and the Langchain orchestration framework. This approach is perfect for enhancing data modeling and reasoning. Read the full hands-on article now: https://lnkd.in/gv-WWiw8 #generativeai #largelanguagemodels