adithya-s-k/RAG-SaaS
⚡Ship RAG Solutions Quickly and effortlessly
Provides a complete SaaS stack for RAG applications using LlamaIndex for pipeline orchestration, MongoDB for hybrid storage (traditional + vector), and Qdrant for semantic search, with built-in admin dashboards for data ingestion and RAG configuration switching. Integrates with OpenAI for LLMs, AWS S3 for document uploads, and Arize Phoenix for observability, deployed via FastAPI backend and Next.js frontend with Docker Compose support.
183 stars. No commits in the last 6 months.
Stars
183
Forks
29
Language
TypeScript
License
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Category
Last pushed
Aug 30, 2024
Commits (30d)
0
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