Building Search Engines in the age of AI
Workshop Details
Language
English
Date
5th and 6th February, 2025
Time
1800 to 2030 (GMT+7) on both days
Medium
Zoom Conferencing (Online)
Bundled Learning Experience
Live Seminar: 5th February 2025
A 2.5-hour workshop that covers both the theoretical and practical aspects of building custom search engines operating on custom, proprietary data. This is particularly suited for product managers and R&D teams looking to build AI-enabled search engines fully tailored to their data and use cases.
Workshop Fee: $29Live Seminar + Practicum (two days)
A 2.5-hour workshop that covers both the theoretical and practical aspects of building custom search engines operating on custom, proprietary data. This is particularly suited for product managers and R&D teams looking to build AI-enabled search engines fully tailored to their data and use cases.
On the second day, you will be attending a 2.5-hour, live workshop that walks you through the development process of a custom search engine using the latest in generative AI and Retrieval Augmented Generation (RAG) models. You will be given access to:
- All the code and data used in the workshop
- 3,000 credits of Sectors API for personal and commercial use
- Post-workshop peer-to-peer support on Discord
Your Instructor
Samuel Chan
I am a 3-time software entrepreneur (currently Sectors, Algoritma and Supertype). Between 2014 and 2016, I have built and sold a company that operates in the space of chatbots, natural language AI and marketing automation whilst living between Beijing, Tokyo and my home town Singapore.
I am also a prolific contributor on GitHub, with many open source tools, libraries, and open courses on Large Language Model and Computer Vision.
- Prolific software entrepreneur (Audience Kit, HyperGrowth, Growth Bot, Sectors Financial Data Suite) over 2 decades
- First in Southeast Asia to receive certification in Microsoft Data Science professional program, MongoDB (2014). Also recipient of Graph Analytics for Big Data from UC San Diego, Machine Learning by Stanford (2016)
- Accredited instructor (NTUC Singapore, IBF Singapore) and guest lecturer in various institutions including University of Indonesia and Ngee Ann Polytechnic
- In-house consultant to SEGA-backed goGame, publisher of Disney Crossy Road, Big Hero 6, Adaro (IDX: ADRO) group of companies and ex-employment at DNP Group (TYO:7912), Gumi (TYO:3903), DianDian FunPlus (600634.SH), year-long consulting at Beijing, Tokyo between 2011 and 2016.
- Contributor to various publication including the Logistics Institute by NUS (National University of Singapore)
Experienced LLM Instructor & Educator
> 250,000
YouTube Views on LLM Generative AI Series (youtube.com/samuelchan)
798 Stars
on LLM education series: GitHub (@onlyphantom/llm-python)
40+
Open source scripts and LLM tooling resources on GitHub
We built an AI-powered Search Engine
Sectors AI Search, Indonesia's financial search engine
We've built a search engine that indexes the entire IDX (Indonesian Stock Exchange) and provides real-time, accurate search results for all public companies in Indonesia. This search engine is powered by the latest in generative AI and retrieval-based LLM models, and is designed to help you find any company using a combination of natural language queries, keyword search and caching mechanisms.
The search engine is powered by the latest in generative AI and Retrieval Augmented Generation (RAG) models.
Taught by Industry Experts
Companies are racing against time to build better information-retrieval systems that can help them make mission-critical decisions faster and more accurately. Being the technology partner for some of the largest institutions in the region, Supertype is at the forefront of these developments and is excited to be organizing a live, in-person online workshop on leveraging generative AI to build search engines that are intelligent, natural language understanding, and accurate.
Last Updated on December 2024
Tired of outdated tutorials in the fast-moving landscape of AI? Us, too. This workshop is constantly updated in an ongoing Github Repository by the course author, and uses the latest version of all libraries (crucially LangChain and LangGraph). It teaches you all the skills required to build intelligent conversational AI Agents, using the same toolkit that we deploy for our clients at Supertype.
Syllabus
Day 1: Seminar
Evolution of search engines
A tour of the history of enterprise search engines, from Redis-based, to Elasticsearch and onwards
Case Study: The Case for Search
Why every company needs a search engine that integrates with their data, and the tooling ecosystem that supports it
Build your own AI systems
With the Practicum tier, gain even more resources (worth $195 combined) to build as many AI search engines as you want, powered by live data from Sectors Financial API
Day 2: Practicum
Custom enterprise search engines
A zero-to-one guide on building custom search engines on top of your internal data and APIs
AI-powered natural language search
Orchestrating search engines that understand natural language queries and provide accurate results without hallucinations
