RAG Pipeline Setup

Set up Retrieval-Augmented Generation pipelines. Configures document chunking, embedding, vector store, retrieval strategies, and LLM integration. Includes evaluation and hallucination detection.. Input: Documents + use case. Output: RAG pipeline config + eval. Python 3.11+. 87% reliable. Use programmatically via API or CLI.

Install via Dejavu

1 Install the Dejavu MCP package:

pip install dejavu-mcp

2 Subscribe at keepingtrack.biz/skills-landing ($6.67/month)

3 Install this skill:

dejavu skill install rag-pipeline-setup

4 Your AI agent can now use it:

dejavu skill execute rag-pipeline-setup --input '...'

Pricing

$6.67/month subscription includes 1,000 free credits. This skill uses credits per execution. Subscribe now →

Get Dejavu — $6.67/month