dspy-rag-pipeline
CommunityAutomate and optimize RAG pipelines end-to-end
AuthorOmidZamani
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables building retrieval-augmented generation (RAG) pipelines using ColBERTv2 while providing a framework to systematically optimize both retrieval and generation components.
Core Features & Use Cases
- Configurable RAG: Connect ColBERTv2 retrieval with a language model to generate grounded answers.
- Joint Optimization: Simultaneously tune retrieval quality and answer generation for better factuality.
- Production-ready Example: Use the provided production pattern to evaluate accuracy and grounding on a document corpus.
Quick Start
Configure ColBERTv2 as the retriever, set the LM, define a DSPy RAG module, and run it with a sample question to see retrieved passages and a grounded answer.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: dspy-rag-pipeline Download link: https://github.com/OmidZamani/dspy-skills/archive/main.zip#dspy-rag-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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