# Itechmeat LLM Code Qdrant > Qdrant (Skill Router) - Skill: `tomevault-io/itechmeat-llm-code-qdrant` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/itechmeat-llm-code-qdrant` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/itechmeat-llm-code-qdrant/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/itechmeat-llm-code-qdrant --- # Qdrant (Skill Router) This file is intentionally **introductory**. It acts as a **router**: based on your situation, open the right note under `references/`. ## Release Highlights (1.16.3 → 1.17.0) - **Monitoring + ops:** new APIs for optimization progress/stages and cluster-wide telemetry, plus a dedicated HTTP port option for `/metrics`. - **Security:** audit access logging and secondary API key support (rotation). - **Retrieval:** relevance feedback and Weighted RRF for hybrid ranking. - **Write semantics:** `update_mode` for upserts (`upsert` / `update` / `insert`). ## Breaking / Upgrade Notes (1.17.0) - **gRPC clients:** response format for vector fields changed in gRPC. Upgrade official Qdrant client libraries and validate any custom gRPC integrations. - **Storage upgrades:** RocksDB is removed in favor of gridstore. If you are on v1.15.x, do not upgrade directly to v1.17.x — upgrade one minor version at a time. ## Start here (fast) - New to Qdrant? Read: `references/concepts.md`. - Want the fastest local validation? Read: `references/quickstart.md` + `references/deployment.md`. - Integrating with Python? Read: `references/api-clients.md`. ## Choose by situation ### Data modeling - What should go into vectors vs payload vs your main DB? Read: `references/modeling.md`. - Working with IDs, upserts, and write semantics? Read: `references/points.md`. - Need to understand payload types and update modes? Read: `references/payload.md`. ### Retrieval (search) - One consolidated entry point (search + filtering + explore + hybrid): `references/retrieval.md`. ### Performance & indexing - Index types and tradeoffs: `references/indexing.md`. - Storage/optimizer internals that matter operationally: `references/storage.md` + `references/optimizer.md`. - Practical tuning, monitoring, troubleshooting: `references/ops-checklist.md`. ### Deployment & ops - Installation/Docker/Kubernetes: `references/deployment.md`. - Configuration layering: `references/configuration.md`. - Security/auth/TLS boundary: `references/security.md`. - Backup/restore: `references/snapshots.md`. ### API interface choice - REST vs gRPC, Python SDK: `references/api-clients.md`. ## How to maintain this skill - Keep `SKILL.md` short (router + usage guidance). - Put details into `references/*.md`. - Merge or reorganize references when it improves discoverability. ## Critical prohibitions - Do not ingest/quote large verbatim chunks of vendor docs; summarize in your own words. - Do not invent defaults not explicitly grounded in documentation; record uncertainties as TODOs. - Do not design backup/restore without testing a restore path. - Do not use NFS as the primary persistence backend (installation docs explicitly warn against it). - Do not expose internal cluster communication ports publicly; rely on private networking. - Do not use API keys/JWT over untrusted networks without TLS. - Do not rely on implicit runtime defaults for production; record effective configuration. ## Links - [Documentation](https://qdrant.tech/documentation/) - [Releases](https://github.com/qdrant/qdrant/releases) - [GitHub](https://github.com/qdrant/qdrant) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/itechmeat) — claim your Tome and manage your conversions.