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RAGs

Ground every response in real, reliable knowledge.

Enhance Intelligence with RAGs

Context-Aware Intelligence for Agents

RAGs empower Agents to generate fact-based, contextually accurate responses by combining LLM reasoning with real data from trusted sources. This integration ensures every output is informed, relevant, and grounded in real-world information.

  • Combines retrieval with generation.
  • Enhances context-aware agent responses.
  • Reduces LLM hallucination risks.
  • Ensures data-backed decision-making.

Seamless Knowledge Integration

RAGs integrate smoothly with Syncloop Knowledge Bases and LLMs to deliver unified intelligence. Agents can instantly retrieve relevant data from connected knowledge sources and use it to enhance their reasoning and output quality.

  • Instant data retrieval from sources.
  • Works with Knowledge Bases and LLMs.
  • Unified access across all agents.
  • Strengthens multi-agent collaboration.

Accuracy, Trust, and Workflow Alignment

RAGs improve accuracy and trust in AI-driven workflows by grounding responses in verifiable data. Integrated directly into multi-agent systems, they ensure reliable insights, consistent logic, and smarter decision-making across the entire Syncloop workflow.

  • Improves AI accuracy and trust.
  • Ensures reliable, verifiable insights.
  • Maintains workflow consistency.
  • Drives smarter automation decisions.

Use Cases

T
Transaction Monitoring & AML Case Automation
Automation / Finance / Compliance

Fintechs must continuously detect, investigate, and report suspicious activity across high-volume transactions.

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D
Digital KYC & CIP Orchestration with Risk-Based Tiering
Automation / Finance / Identity

Onboarding demands fast, accurate identity verification across documents, liveness, address proofs, and database checks.

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U
Utility Bill Categorization & Payment Automation
Finance / Utilities / Energy

Managing multiple utility bills (electricity, water, gas, internet, phone, etc.) is a repetitive and error-prone task.

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M
Multi-Agent Order Aggregation & Fulfillment System
E-commerce & Retail Logistics

In modern e-commerce, retailers often sell across multiple channels such as Amazon, eBay, etc. and their own websites.

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Frequently Asked Questions

We have put together some commonly asked questions

It is a multi-agent AI platform for designing and deploying intelligent workflows using Agents, Tools, APIs, LLMs, and Knowledge Bases.

Apps help you organize and manage your automation projects. They bring together Teams, Agents, LLMs and Tools in one unified space, enabling you to design and run complete multi-agent workflows seamlessly.

Multi-Agent Teams allow multiple agents to work collaboratively across different workflows. Each agent performs a distinct task while communicating through Syncloop’s orchestration protocols.

Tools connect Agents with APIs, data sources, or external systems, defining how tasks like data extraction, computation, or validation are executed.

LLMs such as OpenAI GPT, Google Gemini, or Anthropic Claude can be integrated to give your agents natural language reasoning, summarization, and conversational intelligence.

A Knowledge Base stores information your agents use for contextual decision-making. When paired with LLMs via RAG (Retrieval-Augmented Generation), it enables accurate, data-grounded responses.

Yes. You can create and expose custom APIs directly through Syncloop API Development Platform to integrate your workflows with internal databases, third-party services, or enterprise systems.

Deploying in Syncloop is simple, you can publish Apps, Agents, and Tools as live services instantly, enabling secure real-time execution without managing infrastructure manually.

Syncloop is cloud-native and auto-scalable, allowing multi-agent systems to handle large workloads, multiple user requests, and complex workflows efficiently without performance loss.

All APIs created or used in Syncloop are managed through a centralized console, allowing version control, access permissions, monitoring, and easy integration with other systems.
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