LangChain

“You know, I like Langchain. Never used it. Never ever used it.”

“Building, like, RAG from scratch. I mean, I think everybody should do it, I think. Like, I would check out the guide if you guys haven't already, and I think it's in our docs, but instead of just using you know, either the kind of, like the retriever query eng…”

“I don't think anyone knows how to deal with memory, and so I think all these different approaches are...”

“So one of the issues that we haven't really tackled is in this journaling app, if you notice in here, there's a bunch of ones that are really similar, right? And so, like, there's a clear kind of, like, consolidation or update or something procedure that, that…”

“I think the bigger challenge is like, okay, a hundred million dollars, probably pretty, pretty easy. It's just time and effort. And they have both like the manpower and the money to sort of solve those problems. I think it's just like, again, if you go the VC …”

“I don't think we have like an off the shelf kind of like implementation of reflection and kind of like the general sense. I think the concepts like absolutely we see used in different kind of like specific cognitive architectures, but I don't think we have one…”

“And there's such a long tail of other ones, but in practice, like, when people go to production, they generally have their own tools, or maybe one of those three, maybe some other ones, but, like, very, very few other ones.”

“I would say like reacts probably like the most popular. I think there's aspects of reflection that Get used. Tree of thought, probably like the least so.”

“The memory service we launched, I don't think really found product market fit.”

“I saw some paper that used TypeScript notation instead of JSON notation for tool calling and it got a lot better performance.”

“We are a no-code platform letting you build your own AI agents easily. So you can think of, we are to Langchain as Airtable to MySQL. Like you can just pin up AI agents super easily by clicking around and no code required. You didn't have to be an engineer and…”

“So if you look at, you know, like chain still growing. These are the last, last six months. Lama index still growing. What I've basically seen is like things that one, obviously these things have a commercial product. So there's like people buying this and sti…”

“I suspect Pedantic AI will be the first agent framework that implements those semantic attributes properly, because again, we control Pedantic AI, and we can say this is important for observability, whereas most of the other agent frameworks are not maintained…”

“Well, I have a, I have, I don't know if this is an unpopular opinion, but, like, people keep telling me, ah, Langchain isn't popular, but if you look at its stats, like, it has twenty million downloads per month. How can you have not popular framework when it …”

“For many years running, Chrome has been the number one used project broadly, but also within communities like LinkChain and Llama Index.”

“I like the take that apply multi-agents to problems that are easily parallelizable, that are read-only, for example, context gathering for deep research, and do, like, the final quote-unquote write, in this case report writing, at the end. I think this is tric…”