Live Code Review - Pinecone Semantic Search
Offered By: Pinecone via YouTube
Course Description
Overview
Dive into a live code review session where experts build a semantic search engine using Typescript. Explore fundamental concepts of semantic search, compare it with lexical search, and delve deep into the codebase of Pinecone's semantic search Typescript example. Learn about embeddings, CSV loaders, Transformers.js, and the indexing process. Discover techniques for batch embedding and parallelizing embeddings using workers. Follow along as the speakers demonstrate querying the index and provide insights on implementing semantic search effectively.
Syllabus
- Intro
- Basic concepts of lexical search
- What are embeddings?
- How does semantic search work?
- Comparing semantic and lexical search
- Build session intro, CSV loader
- CSV loader done, short review of utilities
- Introducing Transformers.js
- Short look at why types can be helpful
- Embedding in batches
- Ideas around using workers to parallelize embeddings
- A client helper function
- The main portion of the indexing process
- Where to find the repo
- Querying the index
Taught by
Pinecone
Related Courses
U&P AI - Natural Language Processing (NLP) with PythonUdemy What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Microsoft via YouTube Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
David Shapiro ~ AI via YouTube Semantic Search for AI - Testing Out Qdrant Neural Search
David Shapiro ~ AI via YouTube Spotify's Podcast Search Explained
James Briggs via YouTube