This course focuses on integrating traditional database features with vector search capabilities to optimize the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications.
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This course focuses on integrating traditional database features with vector search capabilities to optimize the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications.
This course focuses on integrating traditional database features with vector search capabilities to optimize the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications.
You’ll learn how to apply these key techniques:
1. Prefiltering and Postfiltering: These are techniques to filter results based on specific conditions. Prefiltering is done at the database index creation stage, while postfiltering is applied after the vector search is performed.
2. Projection: This technique involves selecting a subset of the fields returned from a query to minimize the size of the output.
3. Reranking: This involves reordering the results of a search based on other data fields to move the more desired results higher up the list.
4. Prompt Compression: This technique is used to reduce the length of prompts, which can be expensive to process in large-scale applications.
You’ll also learn with hands-on exercises how to:
1. Implement vector search for RAG using MongoDB.
2. Develop a multi-stage MongoDB aggregation pipeline.
3. Use metadata to refine and limit the search results returned from database operations, enhancing efficiency and relevancy.
4. Streamline the outputs from database operations by incorporating a projection stage into the MongoDB aggregation pipeline, reducing the amount of data returned and optimizing performance, memory usage, and security.
5. Rerank documents to improve information retrieval relevance and quality, and use metadata values to determine reordering position.
6. Implement prompt compression and gain an intuition of how to use it and the operational advantages it brings to LLM applications.
Start optimizing the efficiency, security, query processing speed, and cost of your RAG applications with prompt compression and query optimization techniques.
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Activities
Review linear algebra concepts
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Provides a refresher on linear algebra concepts, which are used in prompt compression techniques.
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Linear Algebra
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Review your notes from a previous linear algebra course.
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Solve practice problems on linear algebra concepts.
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Take an online course or tutorial on linear algebra.
Read Modern Information Retrieval
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Provides a strong foundation in the core concepts of information retrieval, which will help you better understand the techniques covered in this course.
View
Modern Information Retrieval: The Concepts and...
on Amazon
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Read the introduction and the chapters on data structures and retrieval models.
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Complete the exercises at the end of each chapter.
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Participate in class discussions about the book.
Complete the MongoDB tutorial on database operations
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Provides hands-on experience with MongoDB, which will help you apply the techniques covered in this course.
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Follow the steps in the tutorial to create a database and insert documents.
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Query the database using different filters and aggregation pipelines.
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Update and delete documents.
Six other activities
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Participate in a study group to discuss course concepts
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Provides an opportunity to discuss course concepts with other students, which can help you clarify your understanding and identify areas where you need additional support.
Show steps
-
Find a study group or create your own.
-
Meet regularly to discuss course concepts and assignments.
-
Collaborate on projects and share resources.
Mentor a junior student in the course
Show steps
Provides an opportunity to share your knowledge with others, which can help you reinforce your understanding and identify areas where you need additional support.
Show steps
-
Identify a junior student who is struggling in the course.
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Offer to help the student with their studies.
-
Meet regularly to discuss course concepts and assignments.
-
Provide feedback and support to the student.
Solve practice problems on prompt compression techniques
Show steps
Provides practice in applying prompt compression techniques, which will help you optimize the efficiency of your RAG applications.
Show steps
-
Find practice problems on prompt compression techniques online.
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Solve the problems using the techniques covered in this course.
-
Check your answers against the provided solutions.
Build a simple RAG application using MongoDB and prompt compression
Show steps
Provides hands-on experience in building a RAG application, which will help you apply the techniques covered in this course to a real-world project.
Show steps
-
Design the architecture of your application.
-
Implement the vector search functionality using MongoDB.
-
Implement the prompt compression techniques covered in this course.
-
Test your application and make sure it meets your requirements.
Write a blog post or article about prompt compression techniques
Show steps
Provides an opportunity to share your knowledge of prompt compression techniques with others, which can help you reinforce your understanding and identify areas where you need additional support.
Show steps
-
Choose a topic related to prompt compression techniques.
-
Research the topic and gather information.
-
Write a blog post or article that is informative and engaging.
-
Publish your blog post or article online.
Contribute to an open-source project related to prompt compression
Show steps
Provides an opportunity to gain hands-on experience with prompt compression techniques and contribute to the open-source community.
Show steps
-
Find an open-source project related to prompt compression.
-
Identify an area where you can contribute to the project.
-
Make a pull request to the project.
-
Collaborate with other developers on the project.
Review linear algebra concepts
Show steps
Provides a refresher on linear algebra concepts, which are used in prompt compression techniques.
Browse courses on
Linear Algebra
Show steps
- Review your notes from a previous linear algebra course.
- Solve practice problems on linear algebra concepts.
- Take an online course or tutorial on linear algebra.
Read Modern Information Retrieval
Show steps
Provides a strong foundation in the core concepts of information retrieval, which will help you better understand the techniques covered in this course.
View
Modern Information Retrieval: The Concepts and...
on Amazon
Show steps
- Read the introduction and the chapters on data structures and retrieval models.
- Complete the exercises at the end of each chapter.
- Participate in class discussions about the book.
Complete the MongoDB tutorial on database operations
Show steps
Provides hands-on experience with MongoDB, which will help you apply the techniques covered in this course.
Show steps
- Follow the steps in the tutorial to create a database and insert documents.
- Query the database using different filters and aggregation pipelines.
- Update and delete documents.
Participate in a study group to discuss course concepts
Show steps
Provides an opportunity to discuss course concepts with other students, which can help you clarify your understanding and identify areas where you need additional support.
Show steps
- Find a study group or create your own.
- Meet regularly to discuss course concepts and assignments.
- Collaborate on projects and share resources.
Mentor a junior student in the course
Show steps
Provides an opportunity to share your knowledge with others, which can help you reinforce your understanding and identify areas where you need additional support.
Show steps
- Identify a junior student who is struggling in the course.
- Offer to help the student with their studies.
- Meet regularly to discuss course concepts and assignments.
- Provide feedback and support to the student.
Solve practice problems on prompt compression techniques
Show steps
Provides practice in applying prompt compression techniques, which will help you optimize the efficiency of your RAG applications.
Show steps
- Find practice problems on prompt compression techniques online.
- Solve the problems using the techniques covered in this course.
- Check your answers against the provided solutions.
Build a simple RAG application using MongoDB and prompt compression
Show steps
Provides hands-on experience in building a RAG application, which will help you apply the techniques covered in this course to a real-world project.
Show steps
- Design the architecture of your application.
- Implement the vector search functionality using MongoDB.
- Implement the prompt compression techniques covered in this course.
- Test your application and make sure it meets your requirements.
Write a blog post or article about prompt compression techniques
Show steps
Provides an opportunity to share your knowledge of prompt compression techniques with others, which can help you reinforce your understanding and identify areas where you need additional support.
Show steps
- Choose a topic related to prompt compression techniques.
- Research the topic and gather information.
- Write a blog post or article that is informative and engaging.
- Publish your blog post or article online.
Contribute to an open-source project related to prompt compression
Show steps
Provides an opportunity to gain hands-on experience with prompt compression techniques and contribute to the open-source community.
Show steps
- Find an open-source project related to prompt compression.
- Identify an area where you can contribute to the project.
- Make a pull request to the project.
- Collaborate with other developers on the project.
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