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Talks and Presentations - Systematically Improving RAG Applications
567-labs.github.ioimport pandas as pd
import matplotlib.pyplot as plt
from pptx import Presentation
from pptx.util import Inches, Pt
# 1. Load data
df = pd.read_excel("EVENTS SHEET.xlsx")
# 2. Pre-process
# a) Event type counts
etype_counts = df["Event type"].value_counts()
# b) Venue capacity bins
bins = [0, 200, 1000, 5000, df["Venue Capacity"].max()]
labels = ["0–200",
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I’m releasing a set of slides I’ve used for various talks which lays out the architecture for agentic document workflows - how LLMs can parse, reason over, and act on PDFs, Excel etc.
In general we’re really excited about using AI agents to automate knowledge work over documents. So much knowledge is locked up in a... See more