Vector databases play a pivotal role across various fields, such as natural language processing, image recognition, recommender systems and semantic search, and have gained more importance with the growing adoption of LLMs.
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Vector databases play a pivotal role across various fields, such as natural language processing, image recognition, recommender systems and semantic search, and have gained more importance with the growing adoption of LLMs.
Vector databases play a pivotal role across various fields, such as natural language processing, image recognition, recommender systems and semantic search, and have gained more importance with the growing adoption of LLMs.
These databases are exceptionally valuable as they provide LLMs with access to real-time proprietary data, enabling the development of Retrieval Augmented Generation (RAG) applications.
At their core, vector databases rely on the use of embeddings to capture the meaning of data and gauge the similarity between different pairs of vectors and sift through extensive datasets, identifying the most similar vectors.
This course will help you gain the knowledge to make informed decisions about when to apply vector databases to your applications. You’ll explore:
1. How to use vector databases and LLMs to gain deeper insights into your data.
2. Build labs that show how to form embeddings and use several search techniques to find similar embeddings.
3. Explore algorithms for fast searches through vast datasets and build applications ranging from RAG to multilingual search.
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Activities
Compile a list of resources on vector databases
Show steps
Expand your knowledge by compiling a list of resources that provide further insights into vector databases.
Browse courses on
Vector Databases
Show steps
-
Conduct online research
-
Gather information from books and articles
-
Organize and categorize the resources
Review relevant vector databases concepts
Show steps
Refresh your understanding of vector databases concepts to strengthen the foundation for this course.
Browse courses on
Vector Databases
Show steps
-
Read through your old course notes
-
Review online resources
Review Data Structures and Algorithms
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Solidify your understanding of basic data structures and algorithms, ensuring a solid foundation for working with vector databases.
Browse courses on
Data Structures
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-
Review online resources on data structures (e.g., arrays, linked lists, trees).
-
Try out coding problems that focus on implementing basic data structures.
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Review time and space complexity analysis for common algorithms.
Seven other activities
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Practice using vector databases
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Strengthen your skills in using vector databases through practical exercises.
Browse courses on
Vector Databases
Show steps
-
Complete the labs provided in the course
-
Find additional online exercises
Attend Meetups or Conferences on Vector Databases
Show steps
Connect with professionals in the field, broaden your network, and stay updated on industry trends and advancements.
Browse courses on
Vector Databases
Show steps
-
Identify local or online meetups or conferences related to vector databases.
-
Attend sessions, engage in discussions, and network with experts.
Explore Vector Database Tutorials and Examples
Show steps
Gain practical experience with vector databases by following guided tutorials and examples, reinforcing concepts covered in the course.
Browse courses on
Vector Databases
Show steps
-
Find online tutorials on using vector databases like FAISS or Milvus.
-
Follow along and build projects to apply vector database techniques.
Create a presentation on vector databases
Show steps
Demonstrate your understanding by creating a presentation that summarizes the key concepts of vector databases.
Browse courses on
Vector Databases
Show steps
-
Gather information
-
Organize your content
-
Design your slides
-
Practice your presentation
Practice Vector Embedding and Search
Show steps
Develop proficiency in forming embeddings and searching for similar vectors, honing your skills in working with vector databases.
Show steps
-
Use online platforms or resources (e.g., Hugging Face) for pre-trained embeddings.
-
Experiment with different embedding techniques (e.g., Word2Vec, GloVe).
-
Practice using vector search algorithms (e.g., LSH, Locality Sensitive Hashing).
Contribute to a vector database project
Show steps
Contribute to a vector database project to enhance your practical skills and gain real-world experience.
Browse courses on
Vector Databases
Show steps
-
Find an open-source vector database project
-
Review the project's documentation
-
Identify an area to contribute
-
Submit your contribution
Build a Vector Database Application
Show steps
Apply your knowledge to build a vector database-based application, deepening your understanding of real-world use cases.
Browse courses on
Image Recognition
Show steps
-
Choose a specific application area (e.g., image search, personalized recommendations).
-
Design and implement the vector database schema and application logic.
-
Test and refine your application, evaluating its performance and accuracy.
Compile a list of resources on vector databases
Show steps
Expand your knowledge by compiling a list of resources that provide further insights into vector databases.
Browse courses on
Vector Databases
Show steps
- Conduct online research
- Gather information from books and articles
- Organize and categorize the resources
Review relevant vector databases concepts
Show steps
Refresh your understanding of vector databases concepts to strengthen the foundation for this course.
Browse courses on
Vector Databases
Show steps
- Read through your old course notes
- Review online resources
Review Data Structures and Algorithms
Show steps
Solidify your understanding of basic data structures and algorithms, ensuring a solid foundation for working with vector databases.
Browse courses on
Data Structures
Show steps
- Review online resources on data structures (e.g., arrays, linked lists, trees).
- Try out coding problems that focus on implementing basic data structures.
- Review time and space complexity analysis for common algorithms.
Practice using vector databases
Show steps
Strengthen your skills in using vector databases through practical exercises.
Browse courses on
Vector Databases
Show steps
- Complete the labs provided in the course
- Find additional online exercises
Attend Meetups or Conferences on Vector Databases
Show steps
Connect with professionals in the field, broaden your network, and stay updated on industry trends and advancements.
Browse courses on
Vector Databases
Show steps
- Identify local or online meetups or conferences related to vector databases.
- Attend sessions, engage in discussions, and network with experts.
Explore Vector Database Tutorials and Examples
Show steps
Gain practical experience with vector databases by following guided tutorials and examples, reinforcing concepts covered in the course.
Browse courses on
Vector Databases
Show steps
- Find online tutorials on using vector databases like FAISS or Milvus.
- Follow along and build projects to apply vector database techniques.
Create a presentation on vector databases
Show steps
Demonstrate your understanding by creating a presentation that summarizes the key concepts of vector databases.
Browse courses on
Vector Databases
Show steps
- Gather information
- Organize your content
- Design your slides
- Practice your presentation
Practice Vector Embedding and Search
Show steps
Develop proficiency in forming embeddings and searching for similar vectors, honing your skills in working with vector databases.
Show steps
- Use online platforms or resources (e.g., Hugging Face) for pre-trained embeddings.
- Experiment with different embedding techniques (e.g., Word2Vec, GloVe).
- Practice using vector search algorithms (e.g., LSH, Locality Sensitive Hashing).
Contribute to a vector database project
Show steps
Contribute to a vector database project to enhance your practical skills and gain real-world experience.
Browse courses on
Vector Databases
Show steps
- Find an open-source vector database project
- Review the project's documentation
- Identify an area to contribute
- Submit your contribution
Build a Vector Database Application
Show steps
Apply your knowledge to build a vector database-based application, deepening your understanding of real-world use cases.
Browse courses on
Image Recognition
Show steps
- Choose a specific application area (e.g., image search, personalized recommendations).
- Design and implement the vector database schema and application logic.
- Test and refine your application, evaluating its performance and accuracy.
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