Qdrant · Schema
VectorStorageType
Storage types for vectors
AIArtificial IntelligenceVector Databases
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/VectorStorageType",
"title": "VectorStorageType",
"description": "Storage types for vectors",
"oneOf": [
{
"description": "Storage in memory (RAM)\n\nWill be very fast at the cost of consuming a lot of memory.",
"type": "string",
"enum": [
"Memory"
]
},
{
"description": "Storage in mmap file, not appendable\n\nSearch performance is defined by disk speed and the fraction of vectors that fit in memory.",
"type": "string",
"enum": [
"Mmap"
]
},
{
"description": "Storage in chunked mmap files, appendable\n\nSearch performance is defined by disk speed and the fraction of vectors that fit in memory.",
"type": "string",
"enum": [
"ChunkedMmap"
]
},
{
"description": "Same as `ChunkedMmap`, but vectors are forced to be locked in RAM In this way we avoid cold requests to disk, but risk to run out of memory\n\nDesigned as a replacement for `Memory`, which doesn't depend on RocksDB",
"type": "string",
"enum": [
"InRamChunkedMmap"
]
},
{
"description": "Storage in a single mmap file, not appendable Pre-fetched into RAM on load",
"type": "string",
"enum": [
"InRamMmap"
]
}
]
}