AI & Machine Learning
Neuron RAG
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 filtering retrieval by metadata (tenant scoping, source scoping, date ranges).
- Publisher / source
- neuron-core/neuron-ai (found on GitHub top repositories)
- Upstream record
- neuron-core/neuron-ai
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
49eb7ff798c64184a237d6144eabf0ee53bdd26c44adde8d96990f0a9fea22ad