qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
npx skills add a5c-ai/babysitter --skill qdrant-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Qdrant Integration Skill ## Capabilities - Set up Qdrant (local, cloud, self-hosted) - Create collections with configuration - Implement advanced filtering with payloads - Configure quantization for efficiency - Set up sparse vectors for hybrid search - Implement batch operations and optimization ## Target Processes - vector-database-setup - rag-pipeline-implementation ## Implementation Details ### Deployment Modes 1. **Local Memory**: For testing 2. **Local Disk**: Persistent local storage 3. **Qdrant Cloud**: Managed service 4. **Self-Hosted**: Docker/Kubernetes deployment ### Core Operations - Collection management with parameters - Point upsert with vectors and payloads - Search with filters (must, should, must_not) - Scroll for pagination - Batch operations ### Configuration Options - Vector parameters (size, distance) - Quantization (scalar, product) - Sparse vector configuration - Payload indexes - Replication and sharding ### Best Practices - Use quantization for large collections - Design payload indexes for filters - Implement proper batch sizes - Configure appropriate distance metrics ### Dependencies - qdrant-client - langchain-qdrant
- Capabilities
- Target Processes
- Implementation Details
- Deployment Modes
- Core Operations
- Configuration Options
- Best Practices
- Dependencies
What does the qdrant-integration skill do?
Qdrant vector database with filtering, payloads, and quantization support
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill qdrant-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.