qdrant

name	qdrant
description	> Use when this capability is needed.

Qdrant Vector Database

Base URL: http://localhost:6333 (default). Override with QDRANT_URL env var.

All examples use curl. Replace localhost:6333 with the actual Qdrant endpoint.

Quick Reference

Task	Endpoint
List collections	GET /collections
Create collection	PUT /collections/{name}
Delete collection	DELETE /collections/{name}
Collection info	GET /collections/{name}
Upsert points	PUT /collections/{name}/points
Search	POST /collections/{name}/points/search
Scroll (paginate)	POST /collections/{name}/points/scroll
Get point	GET /collections/{name}/points/{id}
Delete points	POST /collections/{name}/points/delete
Count points	POST /collections/{name}/points/count
Health check	GET /healthz

Collections

List all collections

curl -s http://localhost:6333/collections | jq

Create collection

curl -s -X PUT http://localhost:6333/collections/my_collection \
  -H "Content-Type: application/json" \
  -d '{
    "vectors": {
      "size": 384,
      "distance": "Cosine"
    }
  }' | jq

Distance metrics: Cosine, Euclid, Dot, Manhattan.

Create collection with named vectors

curl -s -X PUT http://localhost:6333/collections/my_collection \
  -H "Content-Type: application/json" \
  -d '{
    "vectors": {
      "content": {"size": 384, "distance": "Cosine"},
      "title": {"size": 128, "distance": "Cosine"}
    }
  }' | jq

Collection info

curl -s http://localhost:6333/collections/my_collection | jq

Key fields: vectors_count, points_count, segments_count, status (green/yellow/red).

Delete collection

curl -s -X DELETE http://localhost:6333/collections/my_collection | jq

Check collection exists

curl -sI http://localhost:6333/collections/my_collection -o /dev/null -w "%{http_code}"
# 200 = exists, 404 = not found

Points

Upsert points (insert or update)

curl -s -X PUT http://localhost:6333/collections/my_collection/points \
  -H "Content-Type: application/json" \
  -d '{
    "points": [
      {
        "id": 1,
        "vector": [0.1, 0.2, 0.3, ...],
        "payload": {"title": "Example", "category": "test", "score": 0.95}
      },
      {
        "id": 2,
        "vector": [0.4, 0.5, 0.6, ...],
        "payload": {"title": "Another", "category": "prod", "score": 0.87}
      }
    ]
  }' | jq

Point IDs can be integers or UUIDs.

Upsert with named vectors

curl -s -X PUT http://localhost:6333/collections/my_collection/points \
  -H "Content-Type: application/json" \
  -d '{
    "points": [
      {
        "id": 1,
        "vector": {
          "content": [0.1, 0.2, ...],
          "title": [0.3, 0.4, ...]
        },
        "payload": {"title": "Example"}
      }
    ]
  }' | jq

Get point by ID

curl -s http://localhost:6333/collections/my_collection/points/1 | jq

Get multiple points

curl -s -X POST http://localhost:6333/collections/my_collection/points \
  -H "Content-Type: application/json" \
  -d '{"ids": [1, 2, 3]}' | jq

Delete points by ID

curl -s -X POST http://localhost:6333/collections/my_collection/points/delete \
  -H "Content-Type: application/json" \
  -d '{"points": [1, 2, 3]}' | jq

Delete points by filter

curl -s -X POST http://localhost:6333/collections/my_collection/points/delete \
  -H "Content-Type: application/json" \
  -d '{
    "filter": {
      "must": [
        {"key": "category", "match": {"value": "obsolete"}}
      ]
    }
  }' | jq

Count points

# Total count
curl -s -X POST http://localhost:6333/collections/my_collection/points/count \
  -H "Content-Type: application/json" \
  -d '{}' | jq '.result.count'

# Count with filter
curl -s -X POST http://localhost:6333/collections/my_collection/points/count \
  -H "Content-Type: application/json" \
  -d '{
    "filter": {
      "must": [{"key": "category", "match": {"value": "test"}}]
    },
    "exact": true
  }' | jq '.result.count'

Search

Basic vector search

curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": [0.1, 0.2, 0.3, ...],
    "limit": 10,
    "with_payload": true,
    "with_vector": false
  }' | jq

Search with filter

curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": [0.1, 0.2, 0.3, ...],
    "limit": 5,
    "with_payload": true,
    "filter": {
      "must": [
        {"key": "category", "match": {"value": "prod"}}
      ],
      "must_not": [
        {"key": "archived", "match": {"value": true}}
      ]
    }
  }' | jq

Search with score threshold

curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": [0.1, 0.2, 0.3, ...],
    "limit": 10,
    "score_threshold": 0.7,
    "with_payload": true
  }' | jq

Search with named vector

curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": {
      "name": "content",
      "vector": [0.1, 0.2, 0.3, ...]
    },
    "limit": 10,
    "with_payload": true
  }' | jq

Scroll (paginate through all points)

# First page
curl -s -X POST http://localhost:6333/collections/my_collection/points/scroll \
  -H "Content-Type: application/json" \
  -d '{
    "limit": 100,
    "with_payload": true,
    "with_vector": false
  }' | jq

# Next page (use next_page_offset from previous response)
curl -s -X POST http://localhost:6333/collections/my_collection/points/scroll \
  -H "Content-Type: application/json" \
  -d '{
    "limit": 100,
    "offset": NEXT_PAGE_OFFSET,
    "with_payload": true
  }' | jq

Recommend (find similar to existing points)

curl -s -X POST http://localhost:6333/collections/my_collection/points/recommend \
  -H "Content-Type: application/json" \
  -d '{
    "positive": [1, 2],
    "negative": [3],
    "limit": 10,
    "with_payload": true
  }' | jq

Filtering

Filters use must (AND), should (OR), must_not (NOT) clauses.

Condition types

// Exact match
{"key": "city", "match": {"value": "Berlin"}}

// Match any
{"key": "color", "match": {"any": ["red", "blue", "green"]}}

// Match except
{"key": "status", "match": {"except": ["deleted", "archived"]}}

// Range (numeric)
{"key": "price", "range": {"gte": 10.0, "lte": 100.0}}

// Range (dates as strings)
{"key": "created_at", "range": {"gte": "2025-01-01T00:00:00Z"}}

// Geo bounding box
{"key": "location", "geo_bounding_box": {
  "top_left": {"lat": 52.52, "lon": 13.38},
  "bottom_right": {"lat": 52.50, "lon": 13.42}
}}

// Geo radius
{"key": "location", "geo_radius": {
  "center": {"lat": 52.52, "lon": 13.405},
  "radius": 1000.0
}}

// Has key (field exists)
{"has_id": [1, 2, 3]}

// Is empty (field missing or null)
{"is_empty": {"key": "optional_field"}}

// Is null
{"is_null": {"key": "nullable_field"}}

// Nested filter
{"nested": {"key": "tags", "filter": {
  "must": [{"key": "tags[].name", "match": {"value": "important"}}]
}}}

// Values count
{"values_count": {"key": "tags", "gte": 2}}

Combined filter example

curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": [0.1, 0.2, ...],
    "limit": 10,
    "filter": {
      "must": [
        {"key": "status", "match": {"value": "active"}},
        {"key": "score", "range": {"gte": 0.5}}
      ],
      "should": [
        {"key": "category", "match": {"value": "A"}},
        {"key": "category", "match": {"value": "B"}}
      ],
      "must_not": [
        {"is_empty": {"key": "embedding"}}
      ]
    }
  }' | jq

Payload Indexes

Create indexes on payload fields for faster filtering.

# Create keyword index
curl -s -X PUT http://localhost:6333/collections/my_collection/index \
  -H "Content-Type: application/json" \
  -d '{"field_name": "category", "field_schema": "keyword"}' | jq

# Create integer index
curl -s -X PUT http://localhost:6333/collections/my_collection/index \
  -H "Content-Type: application/json" \
  -d '{"field_name": "score", "field_schema": "integer"}' | jq

# Create float index
curl -s -X PUT http://localhost:6333/collections/my_collection/index \
  -H "Content-Type: application/json" \
  -d '{"field_name": "price", "field_schema": "float"}' | jq

# Delete index
curl -s -X DELETE http://localhost:6333/collections/my_collection/index/category | jq

Index types: keyword, integer, float, bool, geo, datetime, text, uuid.

Payload Operations

Set payload on existing points

curl -s -X POST http://localhost:6333/collections/my_collection/points/payload \
  -H "Content-Type: application/json" \
  -d '{
    "payload": {"new_field": "value", "score": 0.99},
    "points": [1, 2, 3]
  }' | jq

Delete payload keys

curl -s -X POST http://localhost:6333/collections/my_collection/points/payload/delete \
  -H "Content-Type: application/json" \
  -d '{
    "keys": ["old_field", "deprecated"],
    "points": [1, 2, 3]
  }' | jq

Snapshots

curl -s http://localhost:6333/collections/my_collection/snapshots | jq       # list
curl -s -X POST http://localhost:6333/collections/my_collection/snapshots | jq  # create
curl -s -o snap.tar http://localhost:6333/collections/my_collection/snapshots/NAME  # download
curl -s -X DELETE http://localhost:6333/collections/my_collection/snapshots/NAME | jq  # delete

Aliases

# Create/swap alias (atomic)
curl -s -X POST http://localhost:6333/aliases \
  -H "Content-Type: application/json" \
  -d '{"actions": [{"create_alias": {"alias_name": "prod", "collection_name": "v2"}}]}' | jq

# List aliases
curl -s http://localhost:6333/aliases | jq

Service & Health

# Health check
curl -s http://localhost:6333/healthz

# Instance info
curl -s http://localhost:6333/ | jq

# Cluster info
curl -s http://localhost:6333/cluster | jq

# Telemetry
curl -s http://localhost:6333/telemetry | jq

# Prometheus metrics
curl -s http://localhost:6333/metrics

Common Workflows

Inspect collection health

# 1. Check collection status
curl -s http://localhost:6333/collections/my_collection | jq '.result.status, .result.points_count, .result.vectors_count'

# 2. Check optimizer status
curl -s http://localhost:6333/collections/my_collection | jq '.result.optimizer_status'

# 3. Check segment count (high count = needs optimization)
curl -s http://localhost:6333/collections/my_collection | jq '.result.segments_count'

Debug search quality

# Search with vectors returned for inspection
curl -s -X POST http://localhost:6333/collections/my_collection/points/search \
  -H "Content-Type: application/json" \
  -d '{
    "vector": [0.1, 0.2, ...],
    "limit": 5,
    "with_payload": true,
    "with_vector": true
  }' | jq '.result[] | {id, score, payload}'

Important Notes

• Qdrant default ports: 6333 (HTTP), 6334 (gRPC)
• Point IDs are either unsigned integers or UUIDs (string format)
• Vectors must match the collection's configured dimension exactly
• with_payload: true returns all payload; use with_payload: ["field1", "field2"] for specific fields
• Filters on non-indexed fields cause full scan — create payload indexes for fields used in filters
• Collection status: green = fully optimized, yellow = optimizing, red = error
• Upsert is idempotent — re-upserting a point with the same ID overwrites it
• Scroll with offset: null starts from the beginning
• Batch operations are more efficient than individual requests

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Source: bug-ops/zeph — distributed by TomeVault.