Agentic RAG
In the context of generative artificial intelligence, AI agents are a class of intelligent agents distinguished by their ability to operate autonomously in complex environments. Agentic AI tools prioritize decision-making over content creation and do not require continuous oversight.
Signal Radar
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Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
6- Regulatory ActionApr 24, 2026
AI agent ordered surplus candles due to lack of guardrails in inventory management
View source - Research MilestoneMar 20, 2026
Industry projections forecast agents handling 50% of online transactions by 2027
View source- projection:
- 50% of online transactions
- Research MilestoneMar 20, 2026
Gartner projects 40% of enterprise applications will feature task-specific AI agents by 2026
View source- projection:
- 40% of enterprise applications
- Research MilestoneMar 16, 2026
Researchers propose test-time modifications to agentic RAG systems with contextualization and de-duplication modules
View source- accuracy improvement:
- 5.6% higher accuracy
- efficiency improvement:
- 10.5% fewer retrieval turns
- Research MilestoneMar 11, 2026
Emergence of agentic RAG systems that introduce decision-making capabilities at the retrieval stage
- evolution:
- from static pipelines to thinking agents
- Research MilestoneMar 6, 2026
Research paper analyzes shift from tools to agentic AI systems for human-AI teaming
View source- research focus:
- Human-Agentic AI Teaming
Relationships
5Uses
Frequently appears with
3Entities that show up in the same articles — shared coverage, not a stated relationship.
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Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W17 | 0.40 | 2 |