Private AI Document Search by Code Creator

Private AI Document Search by Code Creator is a self-hosted document intelligence and semantic search server that runs entirely inside your own AWS account. Upload, index, and search your sensitive documents without sending them to a third-party SaaS platform.

This AMI is built for teams that need AI-powered document retrieval while maintaining full control over their data. Whether you manage internal knowledge bases, technical documentation, compliance records, operations playbooks, research files, or customer service references, this product gives you a private, searchable knowledge base on infrastructure you own.

Imagine an engineering or operations team managing hundreds of internal documents - runbooks, architecture guides, incident reports, and policy manuals. Today, finding the right passage means manually searching through folders or relying on basic keyword matching. With Private AI Document Search, that team uploads their documents through a browser interface, the system automatically converts and indexes them using Docling and Qdrant vector search, and within minutes any team member can run semantic queries that return the most relevant passages with source names and similarity scores. Documents remain indexed and searchable until you choose to remove them - no need to re-upload between searches.

• Upload documents - Support for PDFs, Word documents, text files, Markdown files, policies, manuals, reports, contracts, support notes, and internal knowledge files
• Automatic conversion and indexing - Docling converts documents and extracts searchable text, which is then indexed into Qdrant vector storage
• Semantic search and retrieval - Search your knowledge base through a simple browser interface and retrieve relevant passages with source attribution and similarity scores
• Persistent document library - Uploaded documents remain visible in the indexed document library and stay searchable across sessions
• Optional AI-generated answers - By default, the server runs in private retrieval mode with no external LLM key required. Connect an external or local model provider later to enable generated summaries
• MCP-ready retrieval - Positioned for future AI agent workflows and retrieval-augmented generation experiments

This product is designed with privacy as a core principle. Key security features include:

• Localhost-bound services - Docling, Qdrant, and the private backend application are bound to localhost or internal Docker networking, not exposed to the public internet
• Minimal port exposure - Only ports 22 (SSH) and 80 (HTTP) need to be opened for the initial deployment
• First-boot password generation - Unique credentials are generated automatically on first launch
• Basic Auth protection - The web interface is protected by authentication out of the box
• Your infrastructure, your data - All documents and vector indexes remain on your EC2 instance within your AWS account

Buyers handling sensitive documents should consider additional hardening steps such as enabling EBS encryption, configuring TLS for HTTPS access, restricting access via VPN or IP allowlisting, and reviewing AWS security best practices for their specific compliance requirements.

Deployment is straightforward with automated first-boot provisioning:

1. Launch the AMI from AWS Marketplace and open ports 22 and 80
2. Connect via SSH and retrieve your auto-generated first-boot password
3. Access the web interface through your instance's public IP
4. Wait 3-5 minutes for Docling to fully initialize on first boot (the web page may appear before document conversion is ready)
5. Begin uploading and searching your documents immediately

The environment runs on Docker Compose and includes helper commands, status checks, and backup tooling to simplify ongoing operations.

Code Creator provides the fully integrated and AWS Marketplace-ready AMI environment, including:

• Automated first-boot provisioning and credential generation
• Private document indexing workflow with Docling conversion services
• Qdrant vector storage and semantic search
• Indexed document library and browser-based search interface
• Docling UI access for document conversion management
• Operational helper tools, status checks, and backup functionality
• MCP-ready retrieval configuration for AI agent integration

Normal AWS infrastructure charges for your EC2 instance and associated resources apply separately.

Subscribe through AWS Marketplace to launch your private document search server in minutes.