Packs/RAG Pipeline Builder
🔍

RAG Pipeline Builder

Professional

Build retrieval-augmented generation pipelines. Vector stores, embeddings, document loaders, and chunking tools.

Target outcome

Build production RAG systems with your agent

Works withclaude-codecursorcodex-cli

Install all skills

$ npx loaditout add-pack rag-pipeline
15 skills|Created 3/17/2026|
0 forks

Skills (15)

#SkillTypeStars
1
mcp-goodnews

A simple MCP application that delivers curated positive and uplifting news stories.

MCP Tool47
2
UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

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3
vibekit

Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.

MCP Tool1.7k
4
code-graph-rag

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

MCP Tool2.1k
5
mcp-server-qdrant

An official Qdrant Model Context Protocol (MCP) server implementation

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6
VectorCode

A code repository indexing tool to supercharge your LLM experience.

MCP Tool833
7
ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

MCP Tool77.3k
8
chroma-mcp

A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma

MCP Tool530
9
mcp-pinecone

Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG

MCP Tool149
10
ragie-mcp-server

Ragie Model Context Protocol Server

MCP Tool87
11
mcp-server-weaviate

MCP (Model Context Protocol) server for Weaviate

MCP Tool160
12
mcp-database-server

Store and load JSON documents from LLM tool use

MCP Tool31
13
rag-vault

One command. Zero cloud. Your docs stay private.

MCP Tool-
14
ragmap

RAG MCP Registry Finder (RAGMap): subregistry API + MCP server + Firestore ingestion

MCP Tool3
15
ds-rag-mcp

MCP-сервер для поиска UI-компонентов с использованием RAG на базе LanceDB и GigaChat

MCP Tool-