groovy-web/rag-systems-production
Enterprise-grade RAG systems with monitoring, scalability, and production features
This system helps AI application developers build and deploy reliable, scalable Retrieval-Augmented Generation (RAG) applications. It takes various document types (like PDFs, DOCX) and integrates with large language models to provide accurate, context-aware answers to user queries, complete with source attribution. AI engineers and MLOps professionals developing production-grade AI chatbots or knowledge assistants would use this.
Use this if you need to build and operate AI applications that provide accurate answers from your organization's internal documents, ensuring high performance, monitoring, and security.
Not ideal if you are looking for a simple, non-scalable prototype or a RAG system for personal use without enterprise-grade features.
Stars
16
Forks
—
Language
—
License
Apache-2.0
Category
Last pushed
Mar 24, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/groovy-web/rag-systems-production"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pguso/rag-from-scratch
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of...
microsoft/RAG_Hack
Hack Together: RAG Hack | Register, Learn, Hack
intersystems-community/iris-vector-rag
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS...
huangjia2019/rag-project01-framework
[RAG训练营] u.geekbang.org/subject/airag/1009927 这是我用Cursor自行制作的RAG Framework,好处是可以掌控RAG每一个环节的教学细节。
fivetran/dbt_unified_rag
Fivetran dbt package designed to generate an end model and Cortex Search Service (for Snowflake...