Slides: Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai
Source Video
Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
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Extracted Slides

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OCR text:
EXPLORER
agent.py
github_agent.pyx
aiengineer
defget_people():
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ogent.py
text-True,
github_agent.py
types"keyword",
report.md
num_resultsa1,
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out.append((nane,url))
AIE
return out
defagent_mark(itens);
streanopenA.chat.completions.create(
nodel-"gpt-40-min1",
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S6
encodin
PROBLEMS
OUTPUT
DEBUG CONSOLE
TERMINAL
COMMENTS
[Tsubasa Kato](https://github.com/stingraze)
zh
[RobertoBayardol(https://github.com/roberto-bayardo)
[EdgarMe1j](https://github.com/ejne1j)
Python
[DanlelCanpos](https://github.com/danlel-e-campos)
[AuSH QuUATI](https1//github.com/ankushagarva/ankush.cc)
[AnrAadallah](https1//github.com/awadalLah)
[Antonio MalLsa](https://github.com/amal(La)
Shashank
Ranaprased](https://github.con/shas
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()Python
Microsoft
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OCR text:
EXPLORER
agent.py
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angineer)agent.py>search_web
aengineer
oerv
agent.py
github_agent.py
repor.md
AIE
PROBLEMS
OUTPUT
DEBUG CONSOLE
TERMINAL
COMMENTS
Keyboardtaterrupt
zh
willbrykrills-MacBook-Pro-2alengineer
Python
willbrykglLs-MacBook-Pro-2alengineer
willbrykgwlLs-MacBook-Pro-2alengineer
Running agent
Personal Mebsites of Engineers in San francisco Interested in Information Retrleval
Searching...
Jonathan Koren
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-ebsite:[jonathankoren.com](https1//jonathankoren.com/)
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OCR text:
EXPLORER
agent.py
github_agent.py x
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s
aengineer
exa=Exa(api_keywos.getenvEXA_API_KEY))
oerv
opena1-OpenAI(ap1_keyos.getenv("OPENAI_API_KEY"))
agent.py
deo
print(*GETTINGPROFILE NAMES")
res-exa.search_and_contents(
texteTrue,
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type-"neural",
num_resultse10,
names1
for 1,hit in enumerate(res.results):
print(fEXTRACTING NAES(1))
name=openai.chat.completions.create(
model=gpt-40°,
messogesa
("role":"user",
fro the text.Only output the
"content:hit.title+"\n"+hit.text[:2e]),
othtng else.
PROBLEMS
OUTPUT
DEBUG CONSOLE
TERMINAL
COMMENTS
-tred-cli*: CLI utility for secure data storage.
zh
Exa-AI SearchEngine
Python
Funding*1Raised s17 mllion in Serles A to develop anAI-centric search engine.
on precision and better information retrieval.
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-Will Bryk discusses the future of search ina sesslon highlighting technologicalinnovati
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do
Key Takeays
-The shift froe traditional searchengines toAI-driven solutlons is seen as essential for
-Developeenton Gitubincludes coetributfons fron Bryk focused on supporting Cryptography
fes
NG
wiltbrykwills-MacBook-Pro-2alengineer
@o00cradeta
Ln26,Col15Spaces4UTF-8LF()Python
Microsoft
smol

OCR text:
EXPLORER
agent.py
github_agent.py x
aengineer
oerv
model-"gpt-40",
agent.py
nessages=
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{"role”:"user,"content":hit.title+"\n”•hit.text[:2ee]),
othing else
).choices[e].message.content.strip()
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print("nases",nases)
return List(dict.fromkeys(nanes))
defget_people():
out=[1
for name in get_nanes():
print("GETTDNGGITHUB INFO")
r-exa.search_and_contents(
textaTrue.
PROBLEMS
OUTPUT
DEBUG CONSOLE
TERMINAL
COMVENTS
zs
names['Jonathan Koren',None','Doug TurmbuLl',“None',
'None','None','Aditya Varun Chadha',
Python
GETTDNG GITHUB INFO
GETTINGGITHUB INFO
GETTDNG GITHUB INFO
GETTING GITHUB INFO
[3onathan Koren](https://github.con/}dkoren)
[DougTurnbulL](https1//github.co/softaredoug)
None](https1//github.com/none-None1)
Areyouusing a screen reader to operateVS Code?
[RobertoBayardo](https://github.com/rob
res
NG
wilLbrykgwilLs-MacBook-Pro-2alengineer
o00cimadea
Ln26,Col15Spaces:4UTF-8LF
()Python
Microsoft
smol
Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.