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Vector Databases Fundamentals to Production [2026 Edition]
Master Pinecone, Chroma and pgvector for RAG applications with LangChain integration, hybrid search and production deployment. Fundamentals to production in this 2026 edition. Claim a verified Udemy coupon code and save 91% on Database Design & Development courses in 2026.
by Paolo Dichone · ⭐ 4.5 via Udemy · 11,242 students · English
$12.99$146.9991% OFF
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✓ 91% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since April 30, 2026 to April 30, 2026. Red dot = current price ($12.99) — CoursesWyn records the price on each sync.
Current price
$12.99
Original price
$146.99
Tracked since
April 30, 2026
Last checked
Apr 30
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on April 30, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.8
/ 10
Discount depth
91%
Udemy rating
4.5 / 5
Popularity
11,242 students
Tracking length
104 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Apr 30, 2026Listed by CoursesWyn — price recorded at $12.99Listed
Apr 30, 2026Coupon checked — checkout price $12.99 · listed until May 30Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | April 30, 2026 |
| Level | All Levels |
| Content | 8 hours 30 minutes |
| Language | English |
| Requirements | Basic Programming Knowledge · A keen interest in data science, AI, or related fields will enhance your learning experience |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
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
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