Knowledge graphs are really cool 🧠 What’s even cooler... is LLMs + knowledge graphs backed by a graph db (NebulaGraph) 🔥 This presents an entirely new stack for retrieval-augmented generation (separate from vector db + top-k)! Now possible with LlamaIndex 🦙 👇show more

In Knowledge Graphs for RAG, our latest short course,... you’ll explore how knowledge graphs work, how to build with them, and create better retrieval augmented generation applications. Start today for free:show more

The `rebel-large` model is awesome for relation extraction 🔗... Paired with CUDA, it’s blazing fast ⚡️. With LlamaIndex 🦙 🦙, we can now build a knowledge graph over any text data super quickly! 🕸️ Full Colab notebook showing how you can use it:show more

Today SciPhi is open-sourcing Triplex, a SOTA LLM for... knowledge graph construction. Triplex is so small that it can be used with SciPhi's R2R to build knowledge graphs directly from your laptop. Triplex outperforms few-shot prompted gpt-4o at 1/60th the inference cost.show more

railway is so good – just deployed a node.js... app w/ db in 10 minutes with no prior knowledge is this what great software looks like?show more

"Graphs are cool and modern! Text is for boring... coders!" - continues to perform Undo for a single node movement for ~11 seconds in a simple graph after being for ~6 years in development 🤔 (pls deprecate it all already)show more

ty Roblox for animation graphs, this is really fun... to use. #Roblox #RobloxDevshow more

Build AI agents on a time-aware knowledge graph! Utopia... is an open-source knowledge system that turns documents, databases, and connected sources into a temporal graph your agents can reason over. Most RAG systems are optimized for one question: what is relevant right now? That works until the underlying knowledge changes. A customer contract gets updated. A project owner changes. A policy is revised. A previous fact may no longer be true, but simply overwriting it means the system loses the history behind that change. Utopia handles this with a bitemporal knowledge graph. Each fact can track both when it was true in the real world and when the system learned about it. When something changes, the old fact is preserved instead of silently disappearing. That means an agent can reason about questions like: • What is true now? • What was true three months ago? • When did this information change? • What evidence was the conclusion based on? The graph is also ontology-aware, so documents are represented as entities, facts, and relationships instead of only chunks and embeddings. That gives the system more structure for reasoning across relationships, resolving entities, detecting conflicting facts, and deriving new information through explicit rules. Key capabilities: • Bitemporal knowledge graph for tracking how facts change over time • Provenance on facts so agents can trace where information came from • Conflict detection instead of silently overwriting contradictory information • Ontology-based reasoning across entities, relationships, and derived facts • Hybrid retrieval across full-text search, vector search, and graph traversal • MCP and agentic RAG support for exposing the knowledge layer directly to agents The interesting part is that this turns the knowledge base into more than a retrieval system. Instead of only finding relevant information, an agent can reason over what changed, what is still valid, how facts are connected, and where each conclusion came from. 100% open source. I've shared the GitHub repo in the comments!show more

Higgsfield supercomputer is now powered by Google Gemini More... natural text generation, cinematic-quality visuals, precise frame-by-frame editing, and smarter search backed by deep global knowledgeshow more

The artisans are working tirelessly for the Ratha construction... at Jagannatha Dham, Puri. With a tight timeline, they build three new Rathas from scratch every year - entirely by hand. No architectural drawings, no formal documentation. Just centuries-old knowledge passed down from one generation to the next. A remarkable living tradition. 🙏show more

Bring your company's top thinking to every project with... Rovo, AI powered by your org's collective knowledge. 🧠show more

Today, we’re launching knowledge graphs in Hebbia, so financial... institutions can connect what they already have and act faster on what they find.show more

Today, we are proud to upgrade our 10 +... years journey with a new identity and launching a brand new nOS — the Network Operating System for Verifiable Enterprise AI, powered by OriginTrail's new Decentralized Knowledge Graph. Here's why we built it 🧵show more

This is Teach Tape from George Pickens. Stack the... DB and give the QB Space to Fade you to the Sideline.show more

RAG is not Memory for AI Agents. 5 AI... memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource.show more

V8 DKG Launches Now: A New Dawn for AI... in 2025🌟 As 2024 draws to a close, we're excited to announce the immediate launch of V8 Decentralized Knowledge Graph (DKG)! This monumental release is set to redefine AI's capabilities as we step into 2025. What Does V8 Bring to the Table? 🧠Decentralized AI: AI agents can now leverage a 'collective memory' at internet scale, drawing from a shared, yet sovereign, knowledge base. This means AI can provide more contextual, coherent, and accurate interactions without compromising data integrity or privacy. 🚀Unmatched Scalability: With the capability to handle billions of Knowledge Assets, V8 DKG sets the stage for AI to grow and learn in ways we've only imagined, supporting everything from decentralized science to industry 4.0. 🔐Trust and Integrity: With integrated decentralized Retrieval Augmented Generation (dRAG), V8 DKG promotes AI that's more accurate, less biased, and inherently trustworthy. How to V8👇 To update your node from V6 to V8, delegate your TRAC utility tokens, and learn more about creating, connecting and owning your Knowledge Assets, make sure to thoroughly read the following documentation: 👉 With V8 DKG launch, you may now access the new: V8 Explorer👉 AND Staking Dashboard 👉 You may now also participate in V8 Staking Security Bounty by delegating new TRAC stake and report your findings. Read more: 👉 The V8 Staking Security Bounty will importantly contribute to the so-called tuning phase of V8 DKG launch (V8.0 to V8.1). Let's break records, as we usher in a new era of Internet Scale OriginTrail!show more

RAG is not Memory. AI agents need long-term memory... to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource. 1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.show more

Autoencoder by hand✍️Excel~ I designed this exercise to show... how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. 👇Join the 'AI Math' community. Download xlsx.show more

🚨NEW: Tucker Carlson "REALLY HAPPY" with Trump Admin Epstein... Files release🚨 "His administration just released more than 3 million documents ... that's a win for exposure, for transparency, for knowledge. And knowledge is the predicate of change." Daily Callershow more