Epsilla
Vector databaseepsilla
Open-source C++ vector database with hybrid search, run in Docker or on Epsilla Cloud.
- Provider
- default
- Kind
- Vector database
- Category
- Data
- Official docs
- https://github.com/epsilla-cloud/vectordb
- Also known as
- Epsilla Cloud
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| deployment | enum | docker | python-library | epsilla-cloud | no | docker | inherited |
| dimensions | integer | — | no | — | inherited |
| distanceMetric | enum | cosine | euclidean | dot-product | no | — | inherited |
| hybridSearch | boolean | — | no | false | ▸ true |
| 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 |
| quantization | enum | none | scalar | product | binary | no | none | inherited |
| replicas | integer | — | no | — | 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: "epsilla", component: "epsilla" }Alibaba Cloud Milvusalibaba-milvusAmazon S3 Vectorsaws-s3-vectorsAgent Memorycloudflare-agent-memoryCloudflare Vectorizecloudflare-vectorizeChromachromaDeep LakedeeplakeKDB.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 # Epsilla: open-source C++ vector database using parallel graph traversal, run in Docker, as a Python library or on Epsilla # Cloud. Per the vectordb README it filters on metadata and does hybrid search with built-in embeddings; the company now # sells an AI agent platform and the database's last release is v0.3.16 (March 2025). schemaVersion: "1" type: "component" id: "epsilla" kind: "vector-database" provider: "default" docs: "https://github.com/epsilla-cloud/vectordb" aliases: ["Epsilla Cloud"] defaults: managed: false metadataFiltering: true hybridSearch: true properties: deployment: type: "enum" values: ["docker", "python-library", "epsilla-cloud"] default: "docker"