🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📊 Neo4j Graph Vector Store 📊 Already excited about Neo4j as a graph database? It supports similarity search too, and you can use it as a vectorstore in LangChain JS/TS 0.0.167! Thank you Easwee, Tomaz Bratanic, and Oskar Hane! js.langchain.com/docs/modules/d…

Great news! You'll be able to learn more about the #GenAI Stack next October 26 during #NODES2023. 🤩 Oskar Hane from #Neo4j and Harrison Chase from LangChain will explain how to build your App with this set of Docker containers. bit.ly/46G6x8N Docker: Build 39X Faster @Ollama_ai #LLMs

Look at that, me and Harrison Chase of LangChain building AI apps together and demonstrating how everyone can do it! Next Thursday, tune in #nodes2023 Neo4j

Here's Harrison Chase and I talking about how easy it is to get started building GenAI / LLM applications: youtube.com/watch?v=fWUzSM… Try it at github.com/docker/genai-s… Docker: Build 39X Faster @Ollama_ai LangChain Neo4j

Here is the talk by Oskar Hane and Harrison Chase about how easy it is to get started building GenAI / LLM apps. Neo4j @Ollama_ai LangChain Docker: Build 39X Faster

We're now hiring for a new team Neo4j! ML Engineer: boards.greenhouse.io/neo4j/jobs/430… AI Engineer: boards.greenhouse.io/neo4j/jobs/430…

Neo4j templates for vector or Cypher search with integrated conversation memory are now available on LangChain Vector search with memory: github.com/langchain-ai/l… Cypher search with memory: github.com/langchain-ai/l…

I got asked if you can drag and drop between the screens. Answer: Yes.

I still can't believe this but... Astro has awarded me a $10,000 grant for my work on Lucia!!!!!! Thank you!!

Ollama now supports multimodel models with v0.1.15! This allows the model to answer your prompt using what it sees. To run it, simply install Ollama, open a terminal, and type in `ollama run llava`. Then, all you need to do is type your prompt, and drag and drop an image.

No, I'm not getting old 😱

If you didn't want to watch my 23-minute HEY Calendar walkthrough video (and I can't blame you!), we made a condensed 3:45 version one that hits on many of the same points without the philosophical why's behind each feature. Attached.

Learn how to use knowledge graphs to enhance your RAG applications with our new course, built in collaboration with @Neo4j! Explore the basics of knowledge graphs, use Cypher, Neo4j’s query language, build your own graphs, and more. 👉 Join now: hubs.la/Q02pgKzy0

Are Knowledge Graphs and LLMs a perfect match? That's something Tomaz Bratanic and I explore in our book "Knowledge Graph-Enhanced RAG" at Manning Publications that enters Early Access Program today! Link: mng.bz/oedy Use code: mlbratanic3 (50% off, valid til June 29) Neo4j

📣 New in MEAP! 📣 Knowledge Graph-Enhanced RAG, by Tomaz Bratanic and Oskar Hane mng.bz/67lG 📚 Upgrade your #RAG applications with the power of #knowledgegraphs. 📚 Save 50% today with code twbratanic350. #GraphRAG #ManningBooks #LearnwithManning

Humbled by the response on the book about RAG and Knowledge Graphs Tomaz Bratanic and I are writing. 2nd best seller at Manning last week! Link: mng.bz/oedy #GenAI #RAG #LLM #GraphRAG Manning Publications Neo4j

Knowledge Graph-Enhanced RAG New book by Tomaz Bratanic and Oskar Hane Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM’s training data and to avoid depending on LLM for factual information. However,

What do you get when you mix 10 Knowledge Graph experts, a thoughtful and engaged audience, some AI, 90 minutes of conversation, and 60 minutes of post-processing? Lots of insights, and a quick recap. We thoroughly enjoyed our Roundtable yesterday. Huge thanks to our esteemed

In my latest Towards Data Science blog I demonstrate how to import Microsoft's GraphRAG knowledge graph into Neo4j and then perform a basic graph analysis followed by local and global retriever implementations with LangChain and LlamaIndex 🦙 . Enjoy! towardsdatascience.com/integrating-mi…

🕸️Building a LangGraph agent with graph memory The following community examples demonstrates building an agent using LangGraph. Graphiti is used to personalize agent responses based on information learned from prior conversations help.getzep.com/graphiti/graph…