Context Graph
topic on 2 shows · 25 statements across 4 episodes
25 statements about Context Graph, every show
Koratana: Traditional SaaS records final outputs but loses decision context
“The key insight behind context graphs was that the last decade of SaaS basically has been built around this idea of a system of record, right? I think Salesforce is a good example, right? Probably the most, you know, central system of record, probably the most…”
Koratana: Context graphs form a compounding moat for AI agent startups
“If you model context graphs really well, agents can actually experience something similar and that actually ends up becoming a moat, right? And I think that's also really important for how AI agent companies, right, end up differentiating over time.”
Eifrem: Context graphs capturing organizational decisions are vital for agentic automation
“And if generally we're in the kind of space right now of trying to shift decision-making from, you know, kind of human brains into agentics brains, right? It used to be from wetware to software. I don't even know what to call kind of the LLMs now, right? Into …”
Swix: Agentic memory is user-specific whereas context graphs are organizational
“So, so, so maybe, okay, maybe one sort of, I'll put this in my own words is agentic memory is sort of the stuff that you've done with the agent. And then the context graph is the stuff that you've done with everyone else. Because I think actually there's a lot…”
Ashu Garg: Context graphs serve as an organization's institutional memory
“Think of a context graph as the institutional memory for an organization. At its simplest level, it is an aggregation of the knowledge of why decisions were made, how they were made, who made them. And the why often has to be inferred from the how and the who.…”
Garg: Winning AI startups will build moats through context graphs
“Our belief is that the most successful AI startups of the future will be those that are able to build a moat by building a unique context graph.”
Garg: Fully autonomous agent transactions require context graphs
“To get to that, and that might not make sense for everything, but there are many situations where that makes sense. To get to that nirvana, we need context graphs.”
Garg: Context graph winners must deliver value to earn data access
“We believe that the best, the companies that win in the era of context graphs will find a way to deliver enough value that they earn the right to build a context graph.”
Garg: Context in AI is a function of pairwise relationships
“Because context is a function of pairwise relationships. When I ask you a question how things are going, your wife asks you the question how things are going, and your CFO asks you the question how things are going, you have very different answers to the same …”
Garg: Systems of record will capture a declining share of tech value
“Existing systems of record are not the natural owners of the context graph, and so they will capture a declining share of the value that's created by technology.”
Ashu Garg: Over 100 winners will capture the $1T context graph market
“So I think there will be the trillion dollar plus opportunity will get captured by a hundred plus winners in context graphs.”
Foundation Capital: AI investing focuses on agent systems and context graphs
“So we are either investing in two things. We're either investing in systems of agents, or we're investing in enabling infrastructure. The common theme across these is the context graph.”
Ashu Garg: Context graph adoption will dictate S&P 500 winners by 2030
“I believe that four years from now, The winners and losers on the SNP or the Nifty in India, the winners and losers will be separated by their ability to embrace context graphs.”
Garg: Every organization will operate multiple context graphs, not one
“First and foremost, every organization will have multiple Context Graphs. There is no one world model or one world context graph in any organization.”
Garg: Every Global 2000 enterprise will build in-house context graphs
“And every global 2000 company will build many context graphs in house.”
Garg: Context graphs are built on multi-system processes, not single-vendor data
“Context graphs are not bound by system constraints. You're not going to build a context graph on top of your Salesforce data. You're going to build a context graph on top of your sales process. And every business process touches dozens of systems in a large co…”
Garg: Context graphs will be 10 to 100x better in three years
“The context graphs of three years of, you know, from now would be 10 to a hundred X better than today's context graphs, because the enabling technology will make them better. And the decision traces you capture will make them better.”
Garg: Enterprise decision traces compound to enrich context graphs
“See, key to the context graph idea is the notion that decision traces, you know, compound. As you capture decision traces, you earn the right to capture more decision traces. And that compounding of decision, of capturing decision traces is what makes for a ri…”
Garg: Context graphs will be AI's most critical layer over next decade
“There is an intermediate abstraction Which we call context graphs, which is the accumulation of decision traces. And this incumulated abstraction, in our opinion, will be the one that will matter the most over the next decade. It's the enduring layer for the m…”
Garg: Incumbents are not well-suited to build context graphs
“And we also believe, and we'll talk about it more, that it's unique and new, and it's not well suited for incumbents.”
Garg: Agent systems uniquely capture decision traces from the orchestration path
“Existing systems of agents, products actually have a very unique advantage because they're not bound by a business process. They're not bound by an existing data store. They're in the orchestration path. And being in the orchestration path for automation of a …”
Garg: Context graphs for unstructured data will consist of small models
“And so where the unstructured data is such a large part of it and conversation data is such a large part, most likely the context graph will actually consist of small models.
The context graph itself is a model layer.
Like you use that data to train a set of m…”
Gupta: Context graphs differ from metadata by capturing execution traces directly
“New categories, I think they emerge when there's a new unit of value worth, you know, storing. And I think the difference here is that decision traces are sort of captured as part of the execution path and not sort of defined up front in all these like worksho…”
Ashu Garg: Enterprises will not build universal context graphs
“We think context graphs, because they have to emerge from the automation of a specific set of tasks or business processes. Like no one's going to do or can do the work to say, let me capture all the decision tracing organization and put them in one universal c…”