Building JOSIE: Advanced AI Workflow with Persistent Memory and Live Data Access

by Claude Con Posted on
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Build an uncensored AI assistant with persistent memory using n8n automation, vector databases, and privacy-focused web search

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TL;DR: Using n8n workflow automation, I’ve built an AI assistant combining JOSIEFIED-Qwen3:8b for intelligent responses, Qdrant vector database for persistent memory, and SearXNG for unlimited web search—with complete data privacy.

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Architecture Overview

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Traditional AI assistants lose memory and have limited web access. JOSIE solves both with a three-tier architecture using open-source tools.

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Component 1: JOSIEFIED-Qwen3:8b

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JOSIEFIED-Qwen3:8b is built on Alibaba’s Qwen3 with 8.19B parameters and 40K context window. Key features:

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  • better Intelligence: Advanced reasoning on Qwen3 architecture
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  • Extended Context: 40K tokens for lengthy documents
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  • Tool Integration: External API support with reduced filtering
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  • Local Processing: Complete privacy via Ollama
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Component 2: Qdrant Vector Database

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Qdrant creates persistent memory through semantic search:

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Document Processing: PDF uploads with 200-character chunks, 50-character overlap using mxbai-embed-large:335m embeddings.

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Conversation Memory: Every interaction stored with rich metadata via LangChain.

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Advanced Retrieval: Context retrieval (top-K: 3) for documents, memory retrieval (top-K: 50) for conversations. Vector quantization reduces RAM by 97% with sub-second searches.

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Component 3: SearXNG

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SearXNG provides unlimited, privacy-focused web search:

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  • Unlimited Queries: No rate limits or API costs
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  • Privacy Protection: Zero tracking
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  • Multi-Engine: Aggregates Google, Bing, DuckDuckGo
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  • JSON API: Clean AI integration
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Workflow Features

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Smart Tool Selection: Automatic web search, memory retrieval, or document access based on query context using n8n conditional logic.

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Session Management: Persistent conversations with analytics via n8n execution data.

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Error Handling: Graceful degradation using n8n error workflows.

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Applications

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Personal Knowledge: Upload PDFs, query conversationally with searchable interaction history via document workflows.

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Business Intelligence: Maintain project context, customer support memory, combine stored knowledge with live web data.

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Education: Track learning progress, access academic papers and current information.

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Privacy & Security

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  • Complete Control: Local AI processing, no data leaves network
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  • Compliance: GDPR-compliant with air-gapped setting it up
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  • business Security: Isolated environment with audit logs
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Implementation

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Prerequisites: Docker, n8n, Ollama, Qdrant, SearXNG

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Quick Setup:

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  1. Deploy SearXNG via Docker compose
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  2. Install Qdrant
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  3. Configure JOSIEFIED-Qwen3:8b
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  4. Import n8n workflow
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Performance: Local processing, optimized storage, sub-second searches, Kubernetes-ready for production.

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Conclusion

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JOSIE delivers privacy-preserving AI that grows smarter with every interaction. Combining advanced language models, persistent memory, and unlimited web access creates autonomous assistance without vendor lock-in.

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Start with the n8n quickstart and explore AI workflow templates.

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Explore AI automation tutorials and vector database guides.

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Resources

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Tools & Platforms