agentic-rag
CommunityTurn static RAG into autonomous, adaptive search.
Software Engineering#query-expansion#semantic-chunking#agentic-rag#adaptive-retrieval#multi-step-reasoning#source-selection
Authorabhishekmmgn
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Strategy for building Agentic RAG systems to move beyond static retrieval by using autonomous agents for adaptive source selection, query expansion, and multi-step reasoning.
Core Features & Use Cases
- Adaptive Retrieval: Dynamically select the best knowledge source (PDFs, Web, Structured DB) based on context.
- Multi-Step Reasoning: Break complex queries into sub-queries, retrieve results sequentially, and synthesize the final answer.
- Context-Aware Query Expansion: Generate refined search terms to improve recall and surface related concepts.
- Optimization Techniques: Include a Self-Correction mechanism via an Evaluator Agent, semantic chunking, and re-ranking to boost relevance and quality.
Quick Start
Instruct your AI to configure an agentic RAG workflow that dynamically selects sources, reasons through steps, and expands queries for a given task.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agentic-rag Download link: https://github.com/abhishekmmgn/skills/archive/main.zip#agentic-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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