{"repo":"feld-m/rag_blueprint","free":true,"listed":false,"github":"https://github.com/feld-m/rag_blueprint","clone":"git clone https://github.com/feld-m/rag_blueprint.git","description":"A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with built-in evaluation and monitoring.","language":"Python","stars":21,"topics":["ai","customization","data-privacy","machine-learning","natural-language-processing","production","rag-systems","retrieval-augmented-generation","scalability","vector-database"],"license":"MIT","category":"machine-learning","readme_excerpt":"RAG Blueprint A comprehensive open-source framework for building production-ready Retrieval-Augmented Generation (RAG) systems. This blueprint simplifies the development of RAG applications while providing full control over performance, resource usage, and evaluation capabilities. Open-source community offers a wide range of RAG-related frameworks focus on the specific area - monitoring, visualization or processing. While building or buying RAG systems has become increasingly accessible, deploying them as production-ready data products remains challenging. Our framework bridges this gap by providing a streamlined development experience with easy configuration and customization options, while maintaining complete oversight of performance and resource usage. It comes with built-in monitoring and observability tools for better troubleshooting, integrated LLM-based metrics for evaluation, and human feedback collection capabilities. Whether you're building a lightweight knowledge base or an enterprise-grade application, this blueprint offers the flexibility and scalability needed for production deployments. Figure 1: High-level architecture of the RAG Blueprint framework showing the main components and data flow 🚀 Features - Multiple Knowledge Base Integration : Seamless extraction from several Data Sources(Confluence, Notion, PDF) - Wide Models Support : Availability of numerous embedding and language models - Vector Search : Efficient similarity search using vector stores - Int","default_branch":null,"files":null,"tree":[],"storefront":"/r/feld-m","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/feld-m/rag_blueprint/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}