Problem & Solution

Eliminate Knowledge Silos Across Your Organization

Employees spend up to 20% of their workweek searching for internal information or waiting on colleagues for answers. Traditional keyword search fails when documentation is buried across disconnected software tools.

The Problem

Keyword search requires knowing exact phrasing, misses relevant context across formats, and forces employees to read through 50-page documents to find a single policy detail.

The Solution

Our custom Retrieval-Augmented Generation (RAG) architectures interpret semantic intent, extract the exact paragraph needed, and generate precise, actionable answers in seconds.

150%

Reduction in Manual Workload

60%

Faster Decision-Making

Improved Workflow Efficiency

40%

Task Automation Rate

Get a Free Demo, Audit & Leads ›

Architecture & Security Standards

No Feature Specification / Standard

01 Deployment Model Private VPC (AWS, GCP, Azure) or On-Premise

02 Vector Database Options Qdrant, Pinecone, pgvector (PostgreSQL), Milvus

03 Embedding Models OpenAI text-embedding-3, Cohere Embed, HuggingFace Open Models

04 Security Compliance SOC2 Type II, GDPR, and HIPAA-compliant data routing

05 Model Agnostic Compatible with Anthropic Claude, OpenAI GPT-4o, and Llama 3

Implementation Process

An 8-week path from data audit to full technical handover.

WEEKS 1–2 01

Data Audit & Ingestion Blueprint

We audit your knowledge repositories, document schemas, and security permissions to design an optimal chunking and embedding strategy.

WEEKS 3–4 02

Vector Pipeline & Retrieval PoC

We deploy vector storage, build semantic search pipelines, and test retrieval accuracy against real-world internal employee queries.

WEEKS 5–6 03

LLM Integration & UI Deployment

We integrate the retrieval engine with customized LLMs and deploy intuitive interfaces (Slack bot, Teams integration, or private web UI).

WEEKS 7–8 04

Evaluation, Guardrails & Handover

We run synthetic evaluation benchmarks to eliminate hallucinations, enforce RBAC rules, and train your technical team on pipeline maintenance.

01 WEEKS 1–2

Data Audit & Ingestion Blueprint

We audit your knowledge repositories, document schemas, and security permissions to design an optimal chunking and embedding strategy.

02 WEEKS 3–4

Vector Pipeline & Retrieval PoC

We deploy vector storage, build semantic search pipelines, and test retrieval accuracy against real-world internal employee queries.

03 WEEKS 5–6

LLM Integration & UI Deployment

We integrate the retrieval engine with customized LLMs and deploy intuitive interfaces (Slack bot, Teams integration, or private web UI).

04 WEEKS 7–8

Evaluation, Guardrails & Handover

We run synthetic evaluation benchmarks to eliminate hallucinations, enforce RBAC rules, and train your technical team on pipeline maintenance.

Frequently Asked Questions

Got questions? We've answered the most common ones about working with RixDigi — from services to timelines to support.

No. We configure enterprise APIs with strict zero-data-retention agreements or deploy self-hosted open-source models inside your own virtual private cloud.

Custom Knowledge
Retrieval (RAG) for
Enterprise Data

Eliminate Knowledge Silos Across Your Organization

Enterprise-Grade Knowledge Architecture Built for Accuracy

Architecture & Security Standards

Implementation Process

Data Audit & Ingestion Blueprint

Vector Pipeline & Retrieval PoC

LLM Integration & UI Deployment

Evaluation, Guardrails & Handover

Data Audit & Ingestion Blueprint

Vector Pipeline & Retrieval PoC

LLM Integration & UI Deployment

Evaluation, Guardrails & Handover

Your Success Story Starts Here
Let’s Begin!

Custom Knowledge Retrieval (RAG) for Enterprise Data

Eliminate Knowledge Silos Across Your Organization

Enterprise-Grade Knowledge Architecture Built for Accuracy

Architecture & Security Standards

Implementation Process

Data Audit & Ingestion Blueprint

Vector Pipeline & Retrieval PoC

LLM Integration & UI Deployment

Evaluation, Guardrails & Handover

Data Audit & Ingestion Blueprint

Vector Pipeline & Retrieval PoC

LLM Integration & UI Deployment

Evaluation, Guardrails & Handover

Your Success Story Starts HereLet’s Begin!

Custom Knowledge
Retrieval (RAG) for
Enterprise Data

Your Success Story Starts Here
Let’s Begin!