Qdrant
Store vectors with payloads and query them through a filtered similarity-search API.
Overview
What you provide
- Vectors, record IDs, payload fields and query filters
What you get
- Scored matching points and associated payloads
Setup & workflow
- Start the official Qdrant container locally and configure authentication before shared access.
- Prepare the input: Vectors, record IDs, payload fields and query filters.
- Run a small, reversible example and inspect the output: Scored matching points and associated payloads.
- Test retrieval relevance and secure the instance before exposing its API.
Requirements & installation
- Configure the documented runtime and authorized service access before attempting this workflow.
Limits & review
- The quickstart container is unauthenticated by default; embeddings need a separate model pipeline.
- Evidence review only: the product was not installed or tested in this crawl.
Your part
- Test retrieval relevance and secure the instance before exposing its API.
When to consider another product
Unreviewed production decisions, unrestricted account access or guaranteed factual results.
Plans & billing details
Cost planning
- Review scope is licensing and documented free-use boundaries, not numeric prices or current hosted-plan allowances.
Published prices are a snapshot. Confirm billing cycle, taxes and current allowances with the provider.
Sources & verification3
This profile is based on official sources, not a hands-on product test.
Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.
Discovered via OpenFree.Tools.
- Qdrant — official READMEraw.githubusercontent.com
The maintainer README supports this scope: Store vectors with payloads and query them through a filtered similarity-search API.
- Qdrant — product entry pointqdrant.tech
The public product entry point was retrieved. Functional scope and setup in this record are grounded in the linked maintainer README.
- Qdrant — license termsraw.githubusercontent.com
The retrieved license materials support this boundary: Apache-2.0. Review the complete terms for your use case.
Frequently asked questions
What does Qdrant do?
Store vectors with payloads and query them through a filtered similarity-search API.
How much does Qdrant cost?
Software or published weights are available under Apache-2.0. Model inference, external services and your own compute are separate; hosted plan prices were not reviewed.
What should I check before using Qdrant?
The quickstart container is unauthenticated by default; embeddings need a separate model pipeline.