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Semantic Search with Low-Code

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Shubham Saboo

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What you'll learn

Build RAG pipeline for semantic search

Create a powerful RAG pipeline for semantic search with a few lines of Python code

Integrate data from multiple sources

Ingest data from multiple sources into a vector database with minimal Python code

Deploy your application in a few clicks

Setup and deploy a semantic search pipeline end-to-end using Embedchain and Streamlit

Why this topic matters

Semantic search is the foundation behind powerful search engines and chatbots. In this session, you'll learn the quickest way to build and deploy semantic search solutions with minimal code. This session is for anyone looking to enhance user experience, build smarter chatbots, and stay competitive in the rapidly evolving digital landscape.

You'll learn from

Shubham Saboo

AI Author, Product Manager at Tenstorrent, Founder of Unwind AI

Shubham is an Al product leader with hands-on experience in building Al products, communities, GTM strategy and transforming them into profitable businesses. Shubham has co-authored books on LLM and Neural Search. He is a Microsoft MVP and the Top Voice on LinkedIn. He also runs one of the top AI newsletters called Unwind AI to educate his audience about the latest AI developments and their impact.

Worked at

Tenstorrent
Jina AI
Arcesium

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