Turn your data DataFrames into semantic Knowledge Graphs with only three lines of code.

Knowledge Graphs and GraphRAG have sorta taken over my life the last two months or so, so I thought I would share some very important books for learners and builders. Knowledge Graphs: I’m going to really enjoy this KG book a lot more, now. It’s simple reading, in my opinion. Text as Data: if you work in Data Science and AI, just buy this book right now and then read it. You need to know this. This is my favorite NLP book. Orange Book (Sorry, long title): that is the best builder book I have found so far. It shows how to build with GraphRAG, and you should check it out. I really enjoyed reading this book and use it all the time. Just wanted to make some recommendations as I am looking at a lot of my books for ideas, lately. These are diamonds. Find them where you like to shop for books! #100daysofnetworks | 11 comments on LinkedIn

From Siloed Data to Missed Opportunities Organizations today sit on massive troves of data – customer transactions, logs, metrics, documents – often scattered across departments and trapped in spreadsheets or relational tables. The data is diverse, dispersed, and growing at unfathomable rates, to th

Please read the previous article on Vanilla RAG

Just released a new notebook exploring Semantic Entity Resolution & Extraction using DSPy (Community) and Google's new LangExtract library. Inspired by Russell Jurney’s excellent work on semantic entity resolution, this demo follows his approach of combining: ✅ embeddings, ✅ kNN blocking, ✅ and LLM matching with DSPy (Community). On top of that, I added a general extraction layer to test-drive LangExtract, a Gemini-powered, open-source Python library for reliable structured information extraction. The goal? Detect and merge mentions of the same real-world entities across text. It’s an end-to-end flow tackling one of the most persistent data challenges. Check it out, experiment with your own data, 𝐞𝐧𝐣𝐨𝐲 𝐭𝐡𝐞 𝐬𝐮𝐦𝐦𝐞𝐫 and let me know your thoughts! cc Paco Nathan you might like this 😉 https://wor.ai/8kQ2qa

This notebook converts CSV data into a Neo4j Graph Database. All you do is describe your data. Have you wanted to see what your data looked like as a graph…