fixed haystack logo & subtext; added changes from #1961

This commit is contained in:
kanungle
2025-10-23 08:29:11 -07:00
parent a17a70971d
commit a0e490c3ef
6 changed files with 13 additions and 13 deletions
@@ -15,7 +15,7 @@ You've built and shipped a complete vector search application and gained the exp
You've progressed from vector search fundamentals to production-ready expertise:
**Foundation Building** (Days 0-2): You mastered the core concepts of vector search, learned how similarity metrics work, and understood how [HNSW](https://qdrant.tech/articles/filtrable-hnsw/) indexing enables fast retrieval at scale.
**Foundation Building** (Days 0-2): You mastered the core concepts of vector search, learned how similarity metrics work, and understood how HNSW indexing enables fast retrieval at scale.
**Advanced Retrieval** (Days 3-5): You implemented hybrid search combining semantic and keyword signals, explored quantization for performance optimization, and mastered the Universal Query API with multivector reranking.
@@ -40,13 +40,13 @@ Your final project demonstrates several production-critical capabilities:
{{< course-card
title="Earn your Qdrant Essentials Certificate"
image="/icons/outline/training-white.svg"
link="/course/certification/" >}}
link="/course/essentials/certification/" >}}
Get recognized for completing Day 0–6 and the final project. Add it to your LinkedIn and portfolio.
{{< /course-card >}}
## What's Next?
**Explore Advanced Integrations**: Check out [Day 9 Partner Integrations](../../day-9/) to see how Qdrant works with leading AI frameworks and data platforms.
**Explore Advanced Integrations**: Check out [Day 7 Partner Integrations](../../day-7/) to see how Qdrant works with leading AI frameworks and data platforms.
**Join the Community**: Share your final project results and connect with other practitioners building vector search systems. The Qdrant community is always excited to see what people build.