MIMihir Inamdarinaihive.hashnode.dev·Jul 12 · 25 min readNatural Language as a Query Interface: qdrant-interpreter in Production Agentic RAGHow a natural language interpretation layer on top of Qdrant's vector search engine fills a critical gap in production agentic RAG systems — covering filter translation, schema introspection, architec00
MIMihir Inamdarinaihive.hashnode.dev·Jul 12 · 12 min readThe Retrieval Granularity Problem in RAGWhy indexing at a fixed chunk size breaks RAG, and how a multi-resolution index in Qdrant fixes it by deferring the granularity decision to query time. Every RAG system makes a silent assumption at i00
MIMihir Inamdarinaihive.hashnode.dev·Jul 12 · 23 min readGrounding Agents in Live Documentation: The DocuLayer ApproachHow DocuLayer eliminates AI agent hallucination of stale API signatures by fetching live documentation on demand and running BM25 search locally - no embeddings, no vector database, no generated text.00
MIMihir Inamdarinaihive.hashnode.dev·Jul 12 · 36 min readOSS Radar: A Multi-Agent System for Continuous Open-Source IntelligenceA deep dive into OSS Radar — a production multi-agent system that runs nightly GitHub scans, uses Qdrant vector search for semantic relevance gating and deduplication, and surfaces findings through a 00
MIMihir Inamdarinaihive.hashnode.dev·Jul 12 · 26 min readBuilding a Local Code-Runner Agent with DeepAgentsA concrete walkthrough of building a sandboxed code-execution agent using the DeepAgents framework, covering the sandbox-as-tool pattern, local shell backends, filesystem tooling, and the design decis00
