LlamaIndex

“So we're Actually building out and scoping out initial version of what, like kind of production grade Lama index would look like.”

“And so these days, like Lama Hub is a very rich repository of, like, you know, the hundred plus, like, different data loaders from all different services and formats, and it's growing, like, every day.”

“So the high level mission is really to connect your language models with your data and basically unlock the capabilities of language models, whether it's like reasoning agent, like planning, or also like question answering inside extraction on top of your data…”

“A key philosophy that we launched and like zero dot six auto that we're continuing to build towards is this idea that was inspired by Karis, which is this idea of like progressive disclosure of complexity, where in the beginning things are very high level and …”

“We've seen people build these workflows at different settings from, for instance, like hacks on projects at startups building, for instance, like track GPT, like, plugin over, like, your Slack or your Notion all the way to kind of, like, bigger companies, for …”

“OpenBB, which is the open source, like financial analysis tool, and they recently incorporated Lama Index as a natural language layer to help power, like their, basically, open source Bloomberg vibe, right?”

“So we basically just like stop what we were doing, spent the past three days just completely rewriting the documentation, and then we just launched that yesterday.”

“There's going to be cases where there's going to be things that come out where like, you know, this really is going to be like a drop everything a moment. Like, you know, just stop what you're doing. Like this actually is like P zero. We have to like figure ou…”

“Second is being able to inject metadata actually is quite important to actually improve retrieval performance of like the downstream application, because like, you know, let's say you're splitting up like a sec, 10 K filing into a bunch of chunks within a sing…”

“You also just announced just last month a 8.5 million dollar seed round. Led by our friends at Greylock.”

“Blind train is a great application framework for you to just like get us out of building blocks for a lot of different components, for instance, from like LL modules to prompts to some basic like retrieval and vector database abstractions to like also agent fr…”

“Because in about three or four lines of code, you can load data and just it index it and then query it.”

“We're not building our own vector database, but we have a rich set of integrations with, you know like 12 to like 20 different vector databases out there these days.”