rag-pipeline-builder
CommunityEasily build production-grade RAG pipelines.
AuthorMrOwaisAbdullah
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a ready-to-use RAG pipeline builder to scaffold production-grade retrieval-augmented generation systems with a lightweight, LangChain-free stack, including document ingestion, vector storage, and FastAPI endpoints.
Core Features & Use Cases
- Lightweight, LangChain-free RAG pipeline: chunking, embeddings, Qdrant storage, and streaming endpoints.
- FastAPI-based API with OpenAI models for embeddings and generation, suitable for production deployment.
- Ingestion and testing tooling to curate and verify document pipelines.
Quick Start
Install dependencies from templates/requirements.txt, configure environment variables, ingest your markdown docs into Qdrant, then run uvicorn on the provided FastAPI template.
Dependency Matrix
Required Modules
tiktokenqdrant-clientopenai
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rag-pipeline-builder Download link: https://github.com/MrOwaisAbdullah/ai-humanoid-robotics/archive/main.zip#rag-pipeline-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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