Qdrant Vector Store
Install
pip install bijux-vex[vdb] (or pip install qdrant-client)
Connect
python -m bijux_vex.boundaries.cli.app ingest \
--doc "hello" --vector "[0.0,1.0,0.0]" \
--vector-store qdrant --vector-store-uri http://localhost:6333
Capabilities
- Exact and ANN supported (remote).
- Deletes supported.
- Filtering supported via adapter options.
Limitations
- Requires a running Qdrant instance.
- Consistency is backend-dependent (see capabilities output).
Recommended Use Cases
- Remote, shared vector storage.
- Workloads that need filtering or metadata queries.
- ANN at scale with explicit budgets.
Gotchas
- Network latency affects ND budgets.
- Ensure credentials are redacted in logs and provenance.
Operational Tips
- Use
bijux vex vdb status to validate connectivity.
- Configure batch sizes and retries via adapter options.