List: LLMs and Graphs | Curated by Alessandro Negro

Mar 4, 2025

104 stories

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LLMs and Graphs
In
WhyHow.AI
by
Chia Jeng Yang
Why Lawyers Are Uniquely Suited to Work with LLMsHow LLM information retrieval works and the LSATs for LLMs.
Mar 4
90
Mar 4
90
Cobus Greyling
Why The Focus Has Shifted from AI Agents to Agentic WorkflowsWe find ourselves on a stairway from where Large Language Models were introduced to AI Agents with human like digital interactions. But…
Feb 5
1.4K
43
Feb 5
1.4K
43
Edwin Lisowski
AI Agents vs Agentic AI: What’s the Difference and Why Does It Matter?If you’ve been keeping an eye on artificial intelligence (AI) lately, you’ve probably heard the terms AI Agents and Agentic AI thrown…
Dec 18, 2024
1.2K
28
Dec 18, 2024
1.2K
28
In
Towards AI
by
Prashant Kalepu
The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply ThemAs the curtains draw on 2024, it’s time to reflect on the innovations that have defined the year in AI. And let’s be real — what a year it…
Dec 16, 2024
831
13
Dec 16, 2024
831
13
In
Towards AI
by
Gao Dalie (高達烈)
Why Llama 3.3 70B Is So Much Better Than GPT-4o And Claude 3.5 Sonnet — Here The ResultAI news in the past 7 days has been insane, with so much happening in the world of AI.
Dec 14, 2024
1.5K
19
Dec 14, 2024
1.5K
19
Morgan Linton
Anthropic announced Model Context Protocol (MCP) yesterday, and you should care, a lotAnthropic made a big announcement yesterday, but I think missed in the naming department, making something truly groundbreaking potentially…
Nov 26, 2024
664
16
Nov 26, 2024
664
16
In
Neo4j Developer Blog
by
Makbule Gulcin Ozsoy
Introducing the Fine-Tuned Neo4j Text2Cypher (2024) ModelAuthors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga
Nov 15, 2024
110
1
Nov 15, 2024
110
1
In
TDS Archive
by
Ed Sandoval
GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A AgentA question-based extraction approach
Nov 4, 2024
325
1
Nov 4, 2024
325
1
In
TDS Archive
by
Muhammad Ardi
Paper Walkthrough: Attention Is All You NeedThe complete guide to implementing a Transformer from scratch
Nov 3, 2024
591
12
Nov 3, 2024
591
12
In
TDS Archive
by
Brian Godsey
A Graph Too Far: Graph RAG Doesn’t Require Every Graph ToolDon’t complicate things with graph DBs, QLs, or graph analytics.
Oct 18, 2024
278
2
Oct 18, 2024
278
2
In
The Deep Hub
by
Frank Morales Aguilera
Large Language Models (LLMs) and Reasoning: A New Era of AIFrank Morales Aguilera, BEng, MEng, SMIEEE
May 18, 2024
64
May 18, 2024
64
In
Towards AI
by
Raghunaathan
LLM Finetuning StrategiesUnlocking Precision: Tailor Your LLM to Perfectly Fit Your Needs!
Sep 24, 2024
396
1
Sep 24, 2024
396
1
In
CodeX
by
Anthony Alcaraz
Universal Continuous Knowledge Graph Builder: A New Paradigm for Information StructuringIn an age where digital information is growing at an unprecedented rate, our ability to effectively structure and utilize this vast sea of…
Sep 15, 2024
97
5
Sep 15, 2024
97
5
In
Towards AI
by
Shenggang Li
Exploring and Comparing Graph-Based RAG Approaches: Microsoft GraphRAG vs. Neo4j + LangChainIntroduction:
Aug 25, 2024
470
6
Aug 25, 2024
470
6
In
CodeX
by
Anthony Alcaraz
Learning, Abstracting, Reasoning: How RL, Program Induction, and LLMs are Revolutionizing AI AgentsThe future of AI agents — autonomous systems capable of perceiving, reasoning, and acting in complex environments — lies at the…
Sep 12, 2024
132
Sep 12, 2024
132
In
CodeX
by
Anthony Alcaraz
Graph RAG: The Promising Yet Nascent Future of Language Model AugmentationCompanies will need AI assistant that can truly understand the intricate web of relationships in your data.
Aug 20, 2024
20
1
Aug 20, 2024
20
1
In
TDS Archive
by
Giuseppe Futia
How to Represent Graph Structures — From NumPy to NetworkXLet’s understand how to create and visualize network information with Python
Aug 14, 2024
280
3
Aug 14, 2024
280
3
In
Neo4j Developer Blog
by
Tomaz Bratanic
Entity Linking and Relationship Extraction With Relik in LlamaIndexBuild a knowledge graph without an LLM for your RAG applications
Aug 12, 2024
504
7
Aug 12, 2024
504
7
In
CodeX
by
Anthony Alcaraz
Self-Reasoning with Large Language ModelsThe notion of self-reasoning in LLMs represents a pivotal advancement in AI development, offering the potential to create more reliable…
Jul 30, 2024
7
Jul 30, 2024
7
In
CodeX
by
Anthony Alcaraz
Is Attention Mechanism Becoming a Universal Learning Technique?The field of machine learning has seen many innovations over the years, but few have had as profound and wide-reaching an impact as the…
Jul 29, 2024
22
1
Jul 29, 2024
22
1

LLMs and Graphs

Why Lawyers Are Uniquely Suited to Work with LLMs

How LLM information retrieval works and the LSATs for LLMs.

Why The Focus Has Shifted from AI Agents to Agentic Workflows

We find ourselves on a stairway from where Large Language Models were introduced to AI Agents with human like digital interactions. But…

AI Agents vs Agentic AI: What’s the Difference and Why Does It Matter?

If you’ve been keeping an eye on artificial intelligence (AI) lately, you’ve probably heard the terms AI Agents and Agentic AI thrown…

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

As the curtains draw on 2024, it’s time to reflect on the innovations that have defined the year in AI. And let’s be real — what a year it…

Why Llama 3.3 70B Is So Much Better Than GPT-4o And Claude 3.5 Sonnet — Here The Result

AI news in the past 7 days has been insane, with so much happening in the world of AI.

Anthropic announced Model Context Protocol (MCP) yesterday, and you should care, a lot

Anthropic made a big announcement yesterday, but I think missed in the naming department, making something truly groundbreaking potentially…

Introducing the Fine-Tuned Neo4j Text2Cypher (2024) Model

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent

A question-based extraction approach

Paper Walkthrough: Attention Is All You Need

The complete guide to implementing a Transformer from scratch

A Graph Too Far: Graph RAG Doesn’t Require Every Graph Tool

Don’t complicate things with graph DBs, QLs, or graph analytics.

Large Language Models (LLMs) and Reasoning: A New Era of AI

Frank Morales Aguilera, BEng, MEng, SMIEEE

LLM Finetuning Strategies

Unlocking Precision: Tailor Your LLM to Perfectly Fit Your Needs!

Universal Continuous Knowledge Graph Builder: A New Paradigm for Information Structuring

In an age where digital information is growing at an unprecedented rate, our ability to effectively structure and utilize this vast sea of…

Exploring and Comparing Graph-Based RAG Approaches: Microsoft GraphRAG vs. Neo4j + LangChain

Introduction:

Learning, Abstracting, Reasoning: How RL, Program Induction, and LLMs are Revolutionizing AI Agents

The future of AI agents — autonomous systems capable of perceiving, reasoning, and acting in complex environments — lies at the…

Graph RAG: The Promising Yet Nascent Future of Language Model Augmentation

Companies will need AI assistant that can truly understand the intricate web of relationships in your data.

How to Represent Graph Structures — From NumPy to NetworkX

Let’s understand how to create and visualize network information with Python

Entity Linking and Relationship Extraction With Relik in LlamaIndex

Build a knowledge graph without an LLM for your RAG applications

Self-Reasoning with Large Language Models

The notion of self-reasoning in LLMs represents a pivotal advancement in AI development, offering the potential to create more reliable…

Is Attention Mechanism Becoming a Universal Learning Technique?

The field of machine learning has seen many innovations over the years, but few have had as profound and wide-reaching an impact as the…

Alessandro Negro

LLMs and Graphs

Management

GraphSAGE