Agentic RAG: Beyond Simple Q&A
When a question requires multiple steps, our AI agent takes over—planning, executing, and refining until you get the complete answer.
Simple RAG Can't Handle Complex Questions
❌ Traditional RAG:
- • One search, one answer
- • Can't handle multi-part questions
- • Misses when info spans documents
- • No self-correction on bad results
✓ Agentic RAG:
- • Plans multi-step approach
- • Decomposes complex questions
- • Synthesizes across documents
- • Self-corrects and refines
How Agentic RAG Works
An intelligent agent that thinks before it acts
Query Analysis
The agent analyzes your question, identifies what information is needed, and creates an execution plan.
Multi-Step Retrieval
Executes multiple searches across your knowledge base, refining based on intermediate findings.
Self-Correction
If initial results are insufficient, the agent automatically adjusts its strategy and searches again.
Synthesis
Combines all gathered information into a comprehensive, accurate answer with source citations.
Complex Questions, Complete Answers
See how the agent handles multi-step queries
"Compare our Q3 and Q4 sales performance and identify the top reasons for any changes"
Agent decomposes into: 1) Get Q3 sales data, 2) Get Q4 sales data, 3) Identify differences, 4) Search for explanatory factors.
Comprehensive analysis showing 23% growth, attributing it to new product launch and expanded marketing based on multiple internal documents.
"What are all the dependencies and breaking changes if we upgrade from v2.x to v3.x?"
Agent searches changelogs, migration guides, dependency lists, and known issues across multiple versions.
Complete upgrade checklist with 12 breaking changes, 5 deprecated APIs, and step-by-step migration path.
"Which of our products would be suitable for a healthcare company with HIPAA requirements?"
Agent cross-references product catalog, compliance documentation, and healthcare-specific features.
Identifies 3 compliant products, lists specific HIPAA features, and notes required configuration changes.
Perfect For Complex Questions
Research Questions
Complex queries that span multiple documents and require synthesis of information.
Comparative Analysis
Questions that need data from different time periods, categories, or sources.
Multi-Document QA
Answers requiring combination of information from several documents.
Fact Verification
Cross-referencing claims across multiple authoritative sources.
How We Compare
True agentic capabilities set us apart
| Feature | RAG Engine | LangChain | LlamaIndex | Pinecone |
|---|---|---|---|---|
| Multi-step reasoning | ✓ | ~ | ~ | ✗ |
| Self-correcting queries | ✓ | ✗ | ✗ | ✗ |
| Query decomposition | ✓ | ✓ | ✓ | ✗ |
| Built-in (no code required) | ✓ | ✗ | ✗ | ✗ |
| Reasoning transparency | ✓ | ~ | ~ | ✗ |
Works Great With
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