llm-ops

What problem does it solve?

LLM-Ops provides a standardized, production-grade framework to orchestrate data ingestion, model interactions, and deployment for reliable AI applications.

Core Features & Use Cases

• RAG pipelines with embeddings and vector stores (Chroma, Pinecone, etc.) for retrieval-augmented generation.
• Cost-aware model selection and prompt optimization to reduce runtime and expense.
• End-to-end orchestration including indexing, retrieval, evaluation, and deployment workflows.
• Baseline QA and evaluation frameworks.

Quick Start

Set up a RAG pipeline with embeddings and a vector store to answer domain-specific questions.