Optimizing Local AI Agents: Fixing Multi-Source Search Aggregation and Context Bleed
Glad-Finance4354 · reddit · 2026-07-24
A developer building a domain-specific AI agent with Ollama (using the qwen:2.5 model) is seeking advice on critical architectural challenges. The agent integrates multiple search APIs (DuckDuckGo, Tavily, etc.) and uses Qdrant DB for caching.
Three main issues need resolving:
- Search Aggregation: Struggling to implement logic to query multiple services simultaneously and intelligently synthesize results.
- Context Bleed: The agent occasionally hallucinates by returning answers relevant to previous prompts instead of the current one.
- Poor Query Formulation: The agent often searches using the full raw text of the prompt rather than extracting core keywords and intent.
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