A blog cover on the topic: Introducing Amity Document Search Optimizer: Boost RAG Search Accuracy for Your Generative AI Agents
Generative AI
Natchaya Temyingyong
min read
June 19, 2024

Introducing Amity Document Search Optimizer: Boost RAG Search Accuracy for Your Generative AI Agents

In today's rapidly evolving world of generative AI, the importance of providing accurate and relevant responses cannot be overstated. Enterprises rely on their AI agents to deliver precise answers based on their unique data, but even the most advanced models may struggle without access to the right context. 

That's where Retrieval-Augmented Generation (RAG) comes into play, combining retrieval-based and generative models to ensure AI responses are both broadly informed and specifically relevant.

However, as we discussed in our recent blog post, "The Downside of Vector Search in Q&A Chatbot RAG Workflows," vector search alone is not enough to guarantee optimal results. While vector search is widely mentioned as a solution for document retrieval in RAG workflows, it has its limitations. 

The blog post highlights the challenges faced by vector search, such as the need for extensive fine-tuning and the potential for suboptimal results when dealing with complex or domain-specific queries.

At Amity Solutions, we understand document search accuracy's critical role in the success of RAG applications. That's why we're thrilled to introduce Amity Document Search Optimizer, a groundbreaking solution designed to improve the accuracy of document search in RAG workflows significantly.

📊Performance of Amity Document Search Optimizer

To evaluate our optimizer’s performance, we tested our optimizer against 100 chunks of unclean Thai language documents related to customer service in the financial industry, one of the most complex use cases in Q&A RAG chatbots. A set of 90 Thai language test questions is then used to determine if the search system could accurately retrieve the correct document chunks. Evaluation is performed with two maximum token length settings: 4500 and 7500. Each setting denotes the maximum context size (in GPT-4 token units) allocated to document context.

A graph shows performance of Amity Document Search Optimizer
Performance of Amity Document Search Optimizer

Please note that the results were tested using uncleaned financial industry documents, which are among the most complex and challenging use cases for Q&A chatbots. This approach ensures that our evaluation reflects a worst-case scenario, demonstrating the optimizer's capability to handle real-world data. 

The Amity Document Search Optimizer is also industry agnostic, making it deployable across various sectors such as automotive, retail, insurance, healthcare, HR, and more. In actual deployments, where cleaner data and additional prompt engineering techniques are applied, we typically achieve accuracy rates of 90% or higher. Therefore, the 84.44% accuracy shown in the graph represents a conservative estimate of the optimizer's potential, underscoring its robustness in challenging conditions across multiple industries.

🎯Key Features of Amity Document Search Optimizer:

1. Advanced Query Understanding: Our optimizer employs sophisticated natural language processing techniques to deeply understand the user's query intent, capturing the true essence of their information needs.

2. Dynamic Document Chunk Retrieval: Unlike traditional methods, our optimizer intelligently determines the most relevant chunks of information on-the-fly, ensuring retrieved documents are highly specific to the user's query.

3. Trainable with Adaptable Architecture: The Amity Document Search Optimizer can be continuously trained on your specific domain and use case, with the potential to reach up to 100% accuracy on training data.

With the Amity Document Search Optimizer, you can:

  • Improve response accuracy
  • Scale seamlessly with growing document collections
  • Adapt to changing document sets and domain-specific requirements

Don't miss out on this opportunity to unlock the full potential of your RAG system. Contact us today to schedule a demo and learn more about how the Amity Document Search Optimizer can transform your document search process and elevate your RAG system's performance.

Embrace the future of generative AI with Amity Solutions. Together, let's redefine what's possible in the realm of AI-powered customer experiences.​​​​​​​​​​​​​​​​

Consult with our experts at Amity Solutions for additional information on Amity Document Search Optimizer here