Deep Lake
Vector databasedeeplake
Activeloop multimodal data lake and vector store over local or object storage.
- Provider
- default
- Kind
- Vector database
- Category
- Data
- Official docs
- https://docs.activeloop.ai/
- Also known as
- Activeloop Deep Lake
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| dimensions | integer | — | no | — | inherited |
| distanceMetric | enum | cosine | euclidean | dot-product | no | — | inherited |
| hybridSearch | boolean | — | no | false | inherited |
| indexType | enum | flat | hnsw | ivf | disk-ann | lsh | no | — | inherited |
| managed | boolean | — | no | false | ▸ false |
| metadataFiltering | boolean | — | no | false | ▸ true |
| namespaces | boolean | — | no | false | inherited |
| plan | enum | basic | scale | enterprise | no | basic | inherited |
| quantization | enum | none | scalar | product | binary | no | none | inherited |
| replicas | integer | — | no | — | inherited |
| storage | enum | local | s3 | gcs | azure-blob | activeloop-managed | no | local | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
No rule reads this kind yet. That is a gap, not a guarantee.
nodes:
- { id: "deeplake", component: "deeplake" }Alibaba Cloud Milvusalibaba-milvusAmazon S3 Vectorsaws-s3-vectorsAgent Memorycloudflare-agent-memoryCloudflare Vectorizecloudflare-vectorizeChromachromaEpsillaepsillaKDB.AIkdb-aiLanceDBlancedbMarqomarqoMilvusmilvusMyScalemyscalepgvectorpgvectorpgvectorscalepgvectorscalePineconepineconeQdrantqdrantturbopufferturbopufferValdvaldGeneric vector databasevector-databaseVespa Cloudvespa-cloudWeaviateweaviateZilliz Cloudzilliz-cloudDigitalOcean Vector Databasesdigitalocean-vector-databaseVertex AI Vector Searchgoogle-vertex-ai-vector-search
# yaml-language-server: $schema=../../schema/component.schema.json # Deep Lake: Activeloop's multimodal data lake and vector store, with an open-source Apache-2.0 format and TQL query engine. # Per the Activeloop docs, datasets live locally, in your own object storage or in Activeloop's managed storage on the # Basic, Scale and Enterprise plans; Activeloop-L0 is the reasoning layer built on it. schemaVersion: "1" type: "component" id: "deeplake" kind: "vector-database" provider: "default" docs: "https://docs.activeloop.ai/" aliases: ["Activeloop Deep Lake"] defaults: managed: false metadataFiltering: true properties: storage: type: "enum" values: ["local", "s3", "gcs", "azure-blob", "activeloop-managed"] default: "local" plan: type: "enum" values: ["basic", "scale", "enterprise"] default: "basic"