SkillLLMsv1.0

RAG Retrieval

by AaaS · open-source · Last verified 2026-03-01

Retrieval-augmented generation skill enabling agents to query external knowledge bases via vector similarity search, reranking, and context injection for grounded, accurate responses.

https://aaas.blog/skill/rag-retrieval ↗

B—Above Average

Adoption: AQuality: AFreshness: ACitations: B+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: vector-retrieval, semantic-search, context-injection, document-chunking, reranking
Integrations: pinecone, chroma, weaviate, langchain, llama-index
Use Cases: document-qa, knowledge-base-search, customer-support, research-assistant
API Available: No
Difficulty: intermediate
Prerequisites: embeddings-fundamentals, vector-databases
Supported Agents: claude-code, devin
Tags: rag, retrieval, embeddings, vector-search, knowledge-base
Added: 2026-03-10
Completeness: 100%

Index Score

68.3

Adoption

Quality

Freshness

Citations

Engagement

Explore the full AI ecosystem on Agents as a Service