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neuron-rag

neuron-core/neuron-aiSkill

Implement RAG (Retrieval-Augmented Generation) with Neuron AI including vector stores, embeddings providers, document loaders, retrieval strategies, and metadata filtering. Use this skill whenever the user mentions RAG, retrieval, vector search, document retrieval, semantic search, knowledge bases, chat with documents, or wants to build AI systems that can query and understand external documents. Also trigger for tasks involving vector databases, embeddings, document chunking, document schemas and metadata validation (DocumentSchema), ingestion and reindexing, retrieval strategies, or filterin

ScannedSkillSource: GitHub
2,148 stars +18 this week Updated 19d ago License MIT Context ≈153 tokens always loaded
72popular

Why this score

Stars16/35
Usage (forks)6/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 2,148 stars are split between them (about 215 each) for scoring.

Popularity score: 72/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit 8138e4baee8a, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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