AI/ML, Cloud Computing, Data Analytics

3 Mins Read

The Power of Hybrid Search in Retrieval-Augmented Generation

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Hybrid search is an innovative approach that combines the strengths of multiple search algorithms. It acts like a dream team, leveraging the best of different techniques to deliver highly relevant results for your queries. This is particularly valuable for applications based on Retrieval-Augmented Generation (RAG), where the system needs to understand a wide range of natural language inquiries.


Hybrid search combines the best of keyword-based and semantic search. Keyword search finds exact matches, perfect for queries like “capital of France” or specific product codes. Semantic search, on the other hand, focuses on meaning and intent. It can understand synonyms and related concepts, even if the exact keywords aren’t used.

For instance, imagine searching for “healthy recipes for vegetarians.” Keyword search might find recipes containing the word “vegetarian,” but it might miss dishes using terms like “plant-based” or “vegan.” Semantic search, understanding the intent to find healthy vegetarian options, would also include these.

Hybrid search bridges this gap by combining both approaches. It ensures precision by finding exact matches through keywords, while semantic search broadens the scope to include relevant synonyms and concepts. This comprehensive approach is ideal for RAG applications. Keywords can target specific entities in a query, like ingredients or dietary restrictions, while semantics can grasp the overall goal of finding healthy vegetarian recipes.

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Sample Code

The following code shows how to use hybrid using the Retrieve API with Boto3:

Hybrid Search on Amazon Bedrock console

To use hybrid and semantic search options on the Amazon Bedrock console, complete the following steps:

  1. On the Amazon Bedrock console, choose Knowledge Base in the navigation pane.
  2. Choose the knowledge base you created.
  3. Choose a Test knowledge base.
  4. Choose the configurations icon.


Benefits of a Hybrid Approach

By combining keyword and semantic search, hybrid search unlocks several advantages:

  • Enhanced Accuracy:

The quality of responses generated by your system (FM) relies heavily on the relevance of the retrieved results. Depending on your data, improving accuracy solely with semantic search can be challenging. Hybrid search tackles this by retrieving more relevant information, ultimately leading to more accurate answers from the FM.

  • Expanded Search Potential:

Keyword search acts like a wider net, catching potentially relevant documents but lacking a strong semantic structure. This allows you to search based on keywords alongside the text’s meaning, significantly expanding your search capabilities.


Hybrid search is a powerful tool for navigating the ever-expanding sea of information. By combining the strengths of keyword-based and semantic search, it delivers a more nuanced and user-friendly search experience. Hybrid search offers a winning solution for complex tasks like open domain question answering and context-aware chatbots.

It tackles diverse topics, adapts to evolving conversations, and personalizes search results. Additionally, it empowers applications like Retrieval-Augmented Generation (RAG) by providing a richer foundation for accurate and insightful responses.

Drop a query if you have any questions regarding Hybrid search and we will get back to you quickly.

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About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training PartnerAWS Migration PartnerAWS Data and Analytics PartnerAWS DevOps Competency PartnerAmazon QuickSight Service Delivery PartnerAmazon EKS Service Delivery PartnerAWS Microsoft Workload PartnersAmazon EC2 Service Delivery Partner, and many more.

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1. Why Hybrid Search?

ANS: –

  • Improved Accuracy: Hybrid search retrieves more relevant information, leading to more accurate answers in applications like question answering systems.
  • Expanded Search Capabilities: It allows searching on both keywords and the meaning of the text, providing a wider range of potential results.
  • Better Handling of Complex Queries: Hybrid search more effectively tackles complex queries with various phrasings and open-ended questions.

2. Which regions of Amazon Bedrock are available to use Hybrid Search?

ANS: – East Coast US: Us East (N. Virginia), West Coast US: Us West (Oregon), Asia Pacific: Asia Pacific (Sydney) – Note: Limited features available (model evaluation and continued pre-training of custom models not supported), Asia Pacific: Asia Pacific (Singapore) – Note: Limited features available (model evaluation and continued pre-training of custom models not supported), for more information please visit website.

3. Is Chat Playground available to practice hybrid search on the console?

ANS: – Yes, it is available.

WRITTEN BY Suresh Kumar Reddy

Yerraballi Suresh Kumar Reddy is working as a Research Associate - Data and AI/ML at CloudThat. He is a self-motivated and hard-working Cloud Data Science aspirant who is adept at using analytical tools for analyzing and extracting meaningful insights from data.



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