High Tech — RAG-Based Document Information Retrieval Pipeline
NewThis DAG implements a RAG model to retrieve information from documents while enforcing access controls. It enhances user query responses with relevant document references, ensuring secure and efficient information retrieval.
Overview
The RAG-Based Document Information Retrieval Pipeline is designed to facilitate efficient information retrieval from high-tech literature while ensuring compliance with access controls. The primary purpose of this DAG is to respond to user queries by searching indexed documents and generating accurate responses based on the retrieved content. The architecture consists of several key components: user queries serve as triggers for the pipeline, which initiates the search process in a pre-construct
The RAG-Based Document Information Retrieval Pipeline is designed to facilitate efficient information retrieval from high-tech literature while ensuring compliance with access controls. The primary purpose of this DAG is to respond to user queries by searching indexed documents and generating accurate responses based on the retrieved content. The architecture consists of several key components: user queries serve as triggers for the pipeline, which initiates the search process in a pre-constructed index of documents. The pipeline employs a RAG model that integrates retrieval and generation capabilities, allowing it to formulate responses that are not only contextually relevant but also cite the original documents for user reference. Access controls based on user roles are applied to ensure that sensitive information is only available to authorized personnel. The outputs of this pipeline include user-specific responses and document references, enhancing the overall user experience. Monitoring key performance indicators (KPIs) such as user satisfaction rates and response times is crucial for assessing the effectiveness of the system. By leveraging this DAG, organizations in the high-tech sector can streamline their literature review processes, improve information accessibility, and maintain stringent security protocols, ultimately driving better decision-making and innovation.
Part of the Literature Review solution for the High Tech industry.
Use cases
- Improves information accessibility for research teams
- Enhances compliance with data security regulations
- Reduces response time for user queries significantly
- Increases user satisfaction through accurate information retrieval
- Facilitates informed decision-making with reliable document references
Technical Specifications
Inputs
- • User query logs
- • Document index of high-tech literature
- • Role-based access control lists
Outputs
- • User-specific information responses
- • References to source documents
- • Access control validation results
Processing Steps
- 1. Receive user query input
- 2. Search indexed documents for relevant content
- 3. Generate response using RAG model
- 4. Apply role-based access controls
- 5. Return response with document references to user
Additional Information
DAG ID
WK-1039
Last Updated
2025-08-26
Downloads
59