LlamaIndex, every mention
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tap a year for its mentions
every year anyone Jerry Liu 19Shawn Wang 15Alessio Fanelli 6Jaya Gupta 2Jeff Huber 1
Verbatim, from the transcripts: the passages where LlamaIndex comes up
⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
- ▶ 0:40 Jaya Gupta Like, it was, like, literally right after ChatGPT, and I think the only things that really existed were Langchain, Llama Index, and, like, Perplexity were, like, sort of the three companies that came out right after, and so anything that… 2 times in the scene
Long Live Context Engineering - with Jeff Huber of Chroma
- ▶ 8:43 Jeff Huber For many years running, Chrome has been the number one used project broadly, but also within communities like LinkChain and Llama Index.
DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- ▶ 56:32 unnamed speaker Was there and did the, with Joseph from Roboflow that did like the prompt battle thing, like Harrison was a judge and it's like Jerry from Lama Index was there, like kind of like everybody that, uh, is kind of now breaking out.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 53:01 Shawn Wang You say Langchain, Lama index still growing. 2 times in the scene
Building AGI with OpenAI's Structured Outputs API
- ▶ 52:55 Shawn Wang And like, if I'm an existing Langchain, Lama index, whatever, how do you compare?
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- ▶ 53:04 unnamed speaker The Lang chain, the Lama index, the everything else?
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 2:55 unnamed speaker And people forgot about our friends at Langchain, Lama index, and some of the things that were maybe top of mind vector DBs, you know, it seemed like everybody was releasing a vector DB early in the year.
- ▶ 55:51 unnamed speaker Um, there's kind of like a lot of hype, you know, so like when LinkedIn came out and Lama Index came out, then people are like, oh, I need a vector database. 5 times in the scene
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 1:07:00 Shawn Wang Which is something that LangChain and Llama Index do. 2 times in the scene
RAG is a hack - with Jerry Liu of LlamaIndex
- ▶ 1:19 Shawn Wang Um, um, AI research scientists at Uber for three years, and then two years machine learning engineer at Robust Intelligence before starting Llama Index.
- ▶ 5:29 Alessio Fanelli And before we dive into, um, Lama Index, what do they feed you a robust intelligence that both Hugh and Harrison from Langchain came out of it at the same time? 3 times in the scene
- ▶ 11:45 Alessio Fanelli When did you decide it was time to start the company and then start to think about what Lama Index is today? 3 times in the scene
- ▶ 33:37 Shawn Wang Um, and how many of your, the people that you talk to, you know, you talk to a lot of, uh, people putting Lama index into, uh, production. 2 times in the scene
- ▶ 36:49 Jerry Liu One of the advantages of Lomindex, the Lomindex quick start, is it's three lines of code. 6 times in the scene
- ▶ 49:41 Jerry Liu Um, the reason we started building this was one, it was a great way to dog food, the production readiness for our library. 6 times in the scene
- ▶ 52:27 Shawn Wang Well, so I want to talk a little bit about your cloud offering, um, because you mentioned, I forget the name that you had for it, Enterprise something. 5 times in the scene
- ▶ 52:52 Jerry Liu I think we're looking at ways of, like, actively kind of complementing the developer experience, like, building llama index. 5 times in the scene
- ▶ 56:11 Shawn Wang And all that is, custom loaders all supported within Lama Index, or do you pair it with something else? 2 times in the scene
- ▶ 1:12:17 Jerry Liu And so just, like, how do you basically, um, have an experience where you just, like, write long index code, 2 times in the scene