![Vector Databases Fundamentals to Production [2026 Edition]](https://img-c.udemycdn.com/course/480x270/6023278_65cf_4.jpg "Vector Databases Fundamentals to Production [2026 Edition]")
Vector Databases Fundamentals to Production [2026 Edition]
Master Pinecone, Chroma & pgvector for RAG Applications | LangChain Integration, Hybrid Search, Production Deployment
Taught by ⋮ Paolo Dichone
$12.99 with coupon (list $146.99 — save $134.00, 91% off)
Coupon Verified: April 30, 2026 · click Claim Coupon to apply the discount code
KEEP···NGCourse Overview — Key Takeaways
Verified details for this course — last checked April 30, 2026. Rating and student counts are Udemy's own published figures.
- Course Title
- Vector Databases Fundamentals to Production [2026 Edition]
- Platform
- Udemy (coupon tracked by CoursesWyn)
- Instructor
- Paolo Dichone
- Coupon Last Checked
- April 30, 2026
- Level
- All levels
- Category
- Development
- Topic
- Database Design & Development
- Length
- 8 hours 30 minutes of on-demand video
- Language
- English
- Access
- Lifetime access on Udemy
- Certificate
- Certificate of completion
- Top Outcomes
- Build production-ready RAG applications with Chroma, Pinecone, and pgvector using April 2026 APIs · Master pgvector - the PostgreSQL extension enterprises are adopting for vector search · Implement hybrid search combining BM25 keywords with vector similarity for better accuracy
- Prerequisites
- Basic Programming Knowledge · A keen interest in data science, AI, or related fields will enhance your learning experience
- Price
- $12.99 with coupon (list $146.99 — save $134.00, 91% off)
- Coupon
- Hit Claim Coupon — the discount applies at checkout
What You'll Learn
Practical skills and outcomes you'll gain from Vector Databases Fundamentals to Production [2026 Edition] — taken from the official Udemy syllabus for Development learners.
Build production-ready RAG applications with Chroma, Pinecone, and pgvector using April 2026 APIs.
Master pgvector - the PostgreSQL extension enterprises are adopting for vector search.
Implement hybrid search combining BM25 keywords with vector similarity for better accuracy.
Apply advanced chunking strategies that separate amateur RAG from production-quality retrieval.
Tune HNSW index parameters to optimize speed, accuracy, and memory for your use case.
Build complete LangChain pipelines using modern LCEL patterns - no deprecated code.
Make informed database decisions using real cost data and a practical decision framework.
Understand the mathematics behind embeddings and why similarity metrics capture meaning.
Requirements
What you need before enrolling in Vector Databases Fundamentals to Production [2026 Edition] — prerequisites as listed by the instructor on Udemy.
Basic Programming Knowledge
A keen interest in data science, AI, or related fields will enhance your learning experience
Overview
The full official description of Vector Databases Fundamentals to Production [2026 Edition] — curriculum, teaching approach, and everything included with this Udemy coupon.
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Frequently Asked Questions
Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on April 30, 2026.
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