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AI & Knowledge Systems
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Agentic RAG Vision Bot

Private delivery project

Agentic RAG assistant combining document retrieval with computer vision — answers questions, reasons over knowledge bases, and processes images in one private AI system.

Private delivery — no public URLStart a Similar Project

RAG + CV

Multimodal

Agentic

Tool Use

Private

Knowledge Base

Client

Private Client

Timeline

Research to production

Built by

thehsquares

Project Overview

A private agentic RAG system that ingests documents and images, retrieves relevant context, and uses tool-calling agents to answer complex queries — merging traditional RAG with computer vision and image processing capabilities.

The Challenge

The client needed more than a chatbot: a system that could search internal knowledge, interpret uploaded images, chain reasoning steps, and deliver accurate answers — all running privately without exposing proprietary data to public AI services.

Our Solution

We architected an agentic RAG stack with vector retrieval, multimodal image analysis, orchestrated tool use, and guardrails — enabling document Q&A, visual inspection workflows, and multi-step reasoning in one cohesive private assistant.

Our Approach

Knowledge Architecture

Designed chunking, embedding, and retrieval strategies for documents and visual assets.

Agent Orchestration

Built tool-calling agents that route between search, vision analysis, and synthesis steps.

Vision Integration

Connected image processing pipelines so the agent can reason over visual inputs alongside text.

Services Delivered

Agentic RAG ArchitectureDocument Ingestion & RetrievalImage UnderstandingTool-calling Agents

Key Deliverables

  • Agentic RAG orchestration layer
  • Vector knowledge base & ingestion pipeline
  • Multimodal image analysis module
  • Private API for internal queries
  • Evaluation & safety guardrails

Key Features Built

  • Retrieval-augmented generation over private document corpora
  • Computer vision and image processing for visual Q&A
  • Multi-step agentic reasoning with tool calling
  • Configurable knowledge sources and access scopes
  • Fully private deployment — no public demo URL

Impact & Results

  • Unified private AI assistant for text and image-based queries
  • Reduced time spent searching internal documentation manually
  • Agentic workflows that chain retrieval, vision, and synthesis
  • Secure architecture keeping proprietary data in-house

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