skills.rest
MrOwaisAbdullah
MrOwaisAbdullahCOMMUNITY
Explore all skills by this author →
Website𝕏@mrowaisabdullahGitHub

rag-pipeline-builder

Build RAG pipelines ingesting markdown into Qdrant with FastAPI streaming endpoints.

1|Updated Dec 2, 2025
Search Tags:#fastapi#rag#openai#qdrant#retrieval-augmented generation#document-ingestion
One-click install
npx skills add https://github.com/MrOwaisAbdullah/ai-humanoid-robotics --skill rag-pipeline-builder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rag-pipeline-builder
Source: https://github.com/MrOwaisAbdullah/ai-humanoid-robotics/tree/main/.claude/skills/rag-pipeline-builder
Command: npx skills add https://github.com/MrOwaisAbdullah/ai-humanoid-robotics --skill rag-pipeline-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tiktoken, qdrant-client, openai, and includes scripts (resource) components.

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.

Frequently Asked Questions about rag-pipeline-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a RAG pipeline with FastAPI and Qdrant without using LangChain?▼

You can build a LangChain-free RAG pipeline by ingesting markdown documents, chunking content, generating OpenAI embeddings, storing vectors in Qdrant, and exposing FastAPI endpoints for streaming QA.

How do I ingest markdown documentation into a Qdrant vector database for retrieval?▼

To ingest markdown documentation into Qdrant, the pipeline chunks the content, generates embeddings using OpenAI, and stores the vectors directly in the Qdrant database for fast retrieval.

Can I use OpenAI models for both embeddings and generation in a production RAG API?▼

Yes, this RAG pipeline uses OpenAI models for both generating embeddings during ingestion and powering context-aware generation in the FastAPI streaming QA endpoints for production deployment.

What is the best way to chunk technical documentation for retrieval-augmented generation?▼

The best way to chunk technical documentation for retrieval-augmented generation is applying precise chunking logic directly during the markdown ingestion phase before generating OpenAI embeddings.

Do I need tiktoken to build a RAG pipeline with FastAPI and Qdrant?▼

Yes, you need the tiktoken dependency alongside qdrant-client and openai to handle tokenization and direct control over ingestion, retrieval, and generation logic in the FastAPI RAG pipeline.

Why use a LangChain-free architecture for retrieval-augmented generation?▼

A LangChain-free architecture provides direct control over ingestion, retrieval, and generation logic, offering a lightweight stack for production-grade retrieval-augmented generation without framework overhead.

Related Skills

Explore More Software Engineering Skills→
aberrantCodeaberrantCode
1

credentials

Load API keys from a credentials file into a .env file.

Community
Intermediate
papdawinpapdawin

frontend-server

Serve a voice assistant frontend UI with FastAPI and Jinja2 templates.

Community
Intermediate
AndreKuraitAndreKurait

storing-and-querying-vectors

Store and query vector embeddings with Amazon S3 Vectors.

Community
Advanced
Sameeh07Sameeh07
3

langchain-rag

Build RAG pipelines with LangChain for document ingestion and retrieval.

Community
Intermediate