| name | context-llm-pipeline |
| description | RAG pipeline, embeddings, LLM interactions, and flow orchestration. |
| tags | backend, ai, rag |
LLM Pipeline Context
Overview
Core AI logic including RAG flows, LLM service orchestration, and vector retrieval.
Active Files
Orchestration (Flows)
backend/flows/ingestion_flow.py- Document ingestionbackend/flows/scraping_flow.py- Scrape orchestrationbackend/flows/template_review_flow.py- LLM review flow
Services
backend/services/llm/orchestrator.py- Main LLM handlerbackend/services/llm/pipeline.py- Pipeline logicbackend/services/llm/analyzer.py- Analysis logicbackend/services/research/zai.py- ZAI research integrationbackend/services/search_pipeline_service.py- Search pipeline
Shared Packages
packages/llm-common/- Shared types and utilities (Submodule)
Usage
Use this skill when working on RAG, prompt engineering, or vector search logic.