# learning

> Browse 7 items tagged with learning.

## Items

- [Building Applications with Vector Databases](https://vectordb.ever.works/items/building-applications-with-vector-databases) — DeepLearning.AI course teaching six practical vector database applications using Pinecone, including RAG for LLMs, recommender systems, and hybrid search combining images and text.
- [GraphAcademy Knowledge Graph and GraphRAG Course](https://vectordb.ever.works/items/graphacademy-knowledge-graph-and-graphrag-course) — Free online courses from Neo4j GraphAcademy teaching how to build RAG systems on knowledge graphs. Covers fundamentals of combining graph databases with vector search for more accurate and explainable AI applications.
- [LangChain & Vector Databases in Production](https://vectordb.ever.works/items/langchain-vector-databases-in-production) — Free comprehensive course from Activeloop with 60+ lessons and 10+ practical projects, teaching production-ready LLM applications with vector databases, trusted by 10,000+ engineers.
- [Vector Database Fundamentals (Coursera)](https://vectordb.ever.works/items/vector-database-fundamentals-coursera) — IBM's comprehensive specialization providing job-ready vector database skills in one month, covering foundational knowledge for LLM-powered AI similarity searches, available for free enrollment.
- [Introduction to Information Retrieval](https://vectordb.ever.works/items/introduction-to-information-retrieval) — Foundational IR textbook that includes content on vector‑space models and retrieval, providing essential background for understanding vector search and hybrid retrieval in modern vector databases.
- [Machine Learning Crash Course: Embeddings](https://vectordb.ever.works/items/machine-learning-crash-course-embeddings) — Module of Google’s Machine Learning Crash Course that explains word and text embeddings, how they are obtained, and the difference between static and contextual embeddings, giving essential background for using vector representations in vector databases and similarity search systems.
- [VectorHub](https://vectordb.ever.works/items/vectorhub) — VectorHub is a resource and learning platform for developers and ML architects interested in integrating vector retrieval and search capabilities into their machine learning stacks, directly supporting vector database adoption and usage.

---

_Canonical page: https://vectordb.ever.works/tags/learning_