Soo excited about the #GenAIStack that we @neo4j launched today together with @Docker @langchain and @Ollama_ai Learn more at neo4j.com/developer-blog/gen… Or our live streamed session at @DockerCon at 11:45PT

Folks, seriously. The GraphRAG Ecosystem Tools are frickin' amazing. The KG Builder is a visual cloud service that easily (click click!) turns unstructured data into a knowledge graph! You can point it to some random PDFs, a wikipedia page or a youtube video, and a few seconds later you have the data and concepts from those sources represented as a knowledge graph in your Aura free account. 🤯 This used to take DAYS! It really makes it so easy to get started on your own knowledge graph journey. neo4j.com/developer-blog/gra…

We’re excited to launch a huge feature making @llama_index the framework for building knowledge graphs with LLMs: The Property Graph Index 💫 (There’s a lot of stuff to unpack here, let’s start from the top) You now have a sophisticated set of tools to construct and query a knowledge graph with LLMs: 1. You can extract out a knowledge graph according to a set of extractors. These extractors include defining a pre-defined schema of entities/relationships/properties, defining a set of node relationship with @llama_index constructs, or implicitly figuring out the schema using an LLM. 2. You can now query a knowledge graph with a huge host of different retrievers that can be combined: keywords, vector search, text-to-cypher, and more. 3. You can include the text along with the entities/relationships during retrieval 4. You can perform joint vector search/graph search even if your graph store doesn’t support vectors! We’ve created robust abstractions to plug in both a graph store as well as a separate vector store. 5. You have full customizability: We’ve made it easy/intuitive for you to define your own extractors and retrievers. Labelled Property Graph: a KG representation with nodes relationships. Each node/relationship has a label and an arbitrary set of properties. Why you care: This is a robust representation of knowledge graphs that extends way beyond just triplets - allows you to treat KGs as a superset of vector search. Each text node can be represented by a vector representation similar to a vector db, but also link to other nodes through relationships. Our initial launch was done in collaboration with our partners from @neo4j. Huge shoutout to @tb_tomaz for creating a detailed integration guide as well as extensive guidance on how to refactor our abstractions. Our blog post: llamaindex.ai/blog/introduci… Full guide in the docs: docs.llamaindex.ai/en/stable… Usage guide: docs.llamaindex.ai/en/stable… Basic notebook: docs.llamaindex.ai/en/stable… Advanced notebook (shows extraction according to a schema): docs.llamaindex.ai/en/stable… Using Neo4j with our property graphs: docs.llamaindex.ai/en/stable…

Ok, this is pretty crazy. SQL has been the lingua franca of database querying since the dawn of time. But for the first time in over three decades (!), ISO just published a NEW database query language called GQL -- the Graph Query Language!

🎉Our #DuckDBInAction book is almost there, Chapter 10, 11 and Appendix released on the MEAP. Soon off to print! @markhneedham @rotnroll666 it was a great collaboration. Big Thanks to @ryguyrg @jrdntgn @hfmuehleisen & @ManningBooks for your support 🙏 shortener.manning.com/OPpn

Building text-to-SQL models? Take advantage of our new training dataset featuring 25K samples covering virtually all documented DuckDB features. Now that's something to quack about! huggingface.co/datasets/moth…

Awesome work by @akollegger and @AndrewYNg introducing knowledge graphs and how to superpower your GenAI applications with #GraphRAG. Take it now.

hi friends! I find myself approaching the end of the month and I REALLY need to land a new contract, like, this week 😬 any companies looking to partner on content? explainer videos, tutorials, social media, etc. — I'm available! info@learnwithjason.dev (plz share — thanks!)

📣 Just Scheduled If you're like me and you don't know what "GenAI" means, @adamcowley will teach us how to use langchain.js and build our own custom apps. Details: youtube.com/watch?v=sMTCGFrA…

Nächste Woche findet die erste JUG Ostfalen Veranstaltung 2024 statt. @mesirii wird uns Project Loom vorstellen. jug-ostfalen.de/event/2024/0…

Perfect timing. We finished all the main chapters of our book @duckdb 🐥in action. And the reviewers love 💕 it so far. Hope you do too. @ManningBooks gives out a 45% discount with NMDUCKDB24LT manning.com/promotions/nmduc… Thanks to @motherduck for the support

Alle, die mit unserem „System“ unzufrieden sind, sollten sich diese Rede (8 Min) anhören. Wir können nur produktiv miteinander streiten, wenn wir uns in den Grundsätzen einig bleiben, die #Habeck hier skizziert. Die Notwendigkeit, Prioritäten zu setzen, bestand auch ohne BVerfG.

"Diese Republik ist der beste Staat, den Deutschland je hatte. Wir müssen für sie einstehen. Seien wir solidarisch, als Demokratinnen und Demokraten und in diesem Sinne patriotisch. In dieser Woche und in den nächsten, in dieser Zeit." – Bundesminister #Habeck im Video.

Berlin's MotherDuck/@duckdb meetup was a hit, full house! 🎉 Kudos to speakers @_Blef, @mesirii, our host @dltHub , @hfmuehleisen for joining and all attendees. Catch the session soon on our channel: youtube.com/@motherduckdb Stay tuned for the next one! 🗓️👀

🗓️ Berlin's DuckDB/MotherDuck meetup is on! Hear DuckDB stories from data experts like @_Blef & @mesirii , plus co-creator of @duckdb @hfmuehleisen will also join us! Expect good food, drinks & a fun data-loving crowd. Hosted by @dltHub. Grab your spot eventbrite.com/e/motherduck-…

When playing around with an @OpenAI assistant today uploading a 15MB (350k lines) concatenated asciidoc docs file, I ran into this 2M tokens error message. Not sure if anyone else has seen this yet. Reducing it to 5MB made it work. Probably need to upload multiple files.

I've been hearing more and more about #DuckDB so I'm very excited that @ManningBooks have a new MEAP, DuckDB In Action. I wish @markhneedham , @mesirii & @rotnroll666 every success as they work hard to finish their book. I've got my copy, get yours: lnkd.in/eRsQXtc6

Retrieval is still so early and so hard - but so important most builders want to experiment with different strategies to find what works best for them - this template allows for easy switching between **4** different methods

Episode number #53 on The GeekNarrator podcast is out now! Graph Database Internals (@neo4j) with @mesirii Michael has talked about : - Relational vs Graph model - Graph Data Modeling - Read/Write path (API to Disk) - Storage layer format - Performance gains over RDBMS - SQL for Graph databases - Cypher query language - Partitioning strategies - Schema Migrations - Use cases of graph databases Watch it here : Graph Database Internals: Neo4J with Michael Hunger youtu.be/iihJXKAQZkA Please like this post and share it with your network. Subscribe to the channel for more tech talks. ps: thanks to @gunnarmorling for connecting us 🙏🏻👏 #databases #graphdatabase #databaseinternals