Product · Agentic RAG

Smarter, context-aware AI

Real-time, accurate insights with Agentic RAG

Traditional AI knowledge systems struggle with stale data, hallucinations and limited context. Agentic RAG combines advanced LLMs, autonomous AI agents and dynamic knowledge retrieval to deliver fact-based, real-time responses for businesses that demand accuracy, efficiency and adaptability.

Custom AI for business innovation

Built on open-source LLMs, tuned to your business

Agentic RAG is designed to meet unique business needs by delivering accurate, efficient and intelligent AI-powered retrieval and response. Enhance decision-making, streamline workflows and drive innovation.

How it works

How Agentic RAG works

01

Retrieve

Pull live context from your databases, document stores and APIs — Aurora PostgreSQL + pgvector or OpenSearch for fast similarity search.

02

Augment

Autonomous agents enrich and cross-reference the retrieved context, filtering for relevance before anything reaches the model.

03

Generate

Responses are grounded in the retrieved sources, so answers stay fact-based and traceable rather than hallucinated.

04

Refine & Adapt

Feedback from real interactions tunes retrieval and ranking over time, so accuracy improves with use.

Capabilities

Key features

AI-Driven Search Optimization

Semantic, embedding-based search understands intent — not just keywords — so the most relevant context surfaces first, even across large, unstructured repositories.

Real-Time Multi-Source Retrieval

Query databases, object storage, document management systems and APIs in a single pass, combining structured and unstructured data into one grounded answer.

Precision-Based AI Responses

Every response is anchored to retrieved source material, minimizing hallucinations and giving teams answers they can verify and trust.

Enterprise-Ready Connectivity

Deploys into your AWS environment and integrates with existing systems, with access controls and audit trails suited to regulated workflows.

Self-Learning Intelligence

Human-in-the-loop feedback continuously refines retrieval weights and agent behavior, so the system gets sharper the more your teams use it.

Bring real-time, grounded AI to your business

Tell us about your data and workflows, and we’ll show you what Agentic RAG can do.

Request a demo