LlamaIndex | Connect Your Data to Large Language Models | With CoFounder Jerry Liu

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Discussing LlamaIndex with Co-Founder Jerry Liu. LlamaIndex is a python framework to connect your data to large language models. Llamaindex has 150+ contributors, and supports 90+ data connections including Github repos, airtable, csv's and much more. We discuss external data connections, data formatting, indexing, retrieval, vector storage, similarity search and more.

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Video Chapters
0:31 LLamaindex Origin Story
3:22 Large Language Models
5:30 Querying your data with LLMs
9:05 Formatting Your Input Data
12:20 Data Connectors
13:10 Accessibility of ML
14:00 Llamaindex (ingest, index, query)
15:00 Dataconnectors, indexers, querying
17:15 Retrieval
20:25 Structured Data SQL
23:40 llama index docs
25:32 Dynamic AI Systems
25:50 Getting started Coding
27:55 Outro Thank you

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I was just trying to build my own terrible version of this yesterday in python so I could easily reference my codebase to help me build things faster. I knew someone had to have been working on this! Very exciting, especially as a database guy.

RShakes
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Excellent video. The only problem is the audio quality unfortunately.

reallions
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Thanks for the awesome video! Personally, I've had a better experience using LangChain or LlamaIndex instead of fine-tuning LLMs.

micbab-vgmu
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21:00 -- Wondering how it would even be able to reliably translate natural language into a SQL query. I have a couple hundred tables, tens of thousands of records, quite a few associative tables, and views.

gridplan
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Halfway through the video, but I'm not 100% clear, is this pretty much similar to langchain? If so, what are the differences? If not, how is it different?

williamx