Siwei(思为) builds things and believes in Open Source.
Since GPT-3 began to show an unexpected “understanding ability,” we have been engaged in research, exploration, and sharing on the complementary combination of Graph + LLM technology. As of now, we had made many leading contributions to the LlamaIndex and Langchain projects. Starting from this article, we will share some of our periodic successes and methods with everyone. The topic of…
Introduce the brand new ipython-ngql python package that enhances your ability to connect to NebulaGraph from your Jupyter Notebook or iPython. Now we can do %ngql MATCH p=(n:player)->() RETURN p to query from Jupyter Notebook and %ng_draw to render the result. Chinese version 1 Installation Just do %pip install ipython-ngql from Jupyter Notebook and load it up via %load_ext ngql : python % pip…
How Graph could help build better In-context Learning LLM Applications. Chinese Version 1 LLM App Paradigms As a big improvement in Cognitive intelligence, LLM had changed many industries, in a way that we didn’t expect to automate, accelerate or enable. Seeing new LLM-enabled applications being created every day, we are all still exploring new methods and use cases for leveraging this…
Introducing a new project! ng_ai: NebulaGraph’s graph algorithm suite, a user-friendly high-level Python Algorithm API for NebulaGraph. Its goal is to enable data scientist users of NebulaGraph to perform graph-related algorithmic tasks with minimal code. 1 Nebulagraph AI Suite This week, NebulaGraph 3.5.0 has been released , and @ whitewum suggested that we make the new project ng_ai that…
How NebulaGraph helps build social network systems. This blog was origianlly posted on NebulaGraph Blog . Social networks are no stranger to everyone, whether it’s Facebook, Twitter, Youtube, or services such as Yelp, Quora, Reddit, etc., the essence of their users has formed social networks. In a social network system, we can use a graph database to represent users and their connection…
An attempt to use ChatGPT to generate code for a data scraper to predict sports events with the help of the NebulaGraph graph database and graph algorithms. This post was initially published in https://www.nebula-graph.io/posts/predict-fifa-world-cup-with-chatgpt-and-nebulagraph ChatGPT and Nebulagraph Predict Fifa World Cup [TOC] --> 1 The Hype In the hype for FIFA 2022 World Cup, when I saw a…
How could we model data in Tabular sources and ETL it to NebulaGraph? This article demonstrates an end-to-end example of doing so with dbt. 1 Task Imagine we are building a Knowledge Graph for a content provider web service with NebulaGraph, thus leveraging it to support a Knowledge Base QA system, Recommendation System, and Reasoning system. The knowledge information persisted in different data…
This is a review of Fraud Detection methods based on graph algorithms, graph databases, machine learning, and graph neural networks on NebulaGraph, and in addition to an introduction to the basic methodological ideas, I’ve also got a Playground you can run. it’s worth mentioning that this is the first time I’ve introduced you to the Nebula-DGL project 😁. 1 Fraud detection…
Do I have to create my own graph model and everything to set up a Data Lineage system? Thanks to many great open-source projects, the answer is: No! Today, I would like to share my opinionated reference data infra stack with some of those best open-source projects with modern ETL, Dashboard, Metadata Governance, and Data Lineage Management. 1 Metadata Governance system A Metadata Governance system…
What could be done with Spark and PySpark on top of Nebula Graph, this post covers everything we should know. In this article, I am trying to walk you through all three Spark projects of Nebula Graph with some runnable hands-on examples. Also, I managed to make PySpark usable with Nebula Graph Spark Connector, which will be contributed to the Docs later. 1 The three Spark projects for Nebula Graph…