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Arul SystemsAgentic AI & Cloud Engineering Partner

Retrieval Augmented Generation (RAG)

A production-ready retrieval-augmented generation stack — from ingestion pipelines to configurable chunking and vector store integration.

Architecture

RAG Accelerator Architecture
01

Configurable Chunking Strategy

How you split documents has a direct impact on retrieval quality. The accelerator provides a pluggable chunking layer so you can tune the strategy to fit your data and business needs — without rewriting the pipeline.

Fixed-size

Split by token or character count — simple, predictable, and fast for uniform documents.

Semantic

Split on meaning boundaries so each chunk is coherent and self-contained.

Hierarchical

Preserve document structure — headings, sections, and paragraphs — for structured content.

Custom

Plug in your own chunking logic for domain-specific formats such as legal, medical, or financial documents.

02

Automated Data Ingestion Pipelines

Keeping the vector store current is an operational problem as much as a technical one. The accelerator provides pre-built pipelines that automate the full ingestion lifecycle — from source to vector store — so your retrieval layer always reflects the latest data without manual intervention.

Extract

Pull from documents, databases, APIs, or blob storage on a schedule or triggered by change events.

Transform

Clean, chunk, and embed content using your configured strategy before indexing.

Load

Upsert embeddings into the vector store with deduplication and incremental update support.

03

Role-Based Access Control

In enterprise environments, not all content should be retrievable by all users. The accelerator enforces RBAC at the retrieval layer — so when an agent queries the vector store, it only surfaces documents and chunks that the requesting user is authorised to see. Access is governed by roles, not by hoping the agent avoids restricted content.

Role-aware Retrieval

Queries are scoped at runtime to the user's roles — unauthorised content is never returned, regardless of relevance score.

Document-level Permissions

Permissions are attached at ingestion time, so access control stays in sync as content is added or updated.

Audit Trail

Every retrieval is logged with the user, query, and documents returned — providing a full audit trail for compliance.