diff --git a/docs/tools/vdb_table/data/aperturedb.json b/docs/tools/vdb_table/data/aperturedb.json index a328e718..cd133c91 100644 --- a/docs/tools/vdb_table/data/aperturedb.json +++ b/docs/tools/vdb_table/data/aperturedb.json @@ -9,27 +9,27 @@ "slug": "aperturedb" }, "oss": { - "support": "", - "source_url": "", - "comment": "" + "support": "partial", + "source_url": "https://hub.docker.com/r/aperturedata/aperturedb-community", + "comment": "ApertureDB community edition is free and a great way to test all the database features, locally." }, "license": { - "value": "", - "source_url": "", - "comment": "" + "value": "Proprietary", + "source_url": "https://github.com/aperture-data", + "comment": "ApertureDB code is proprietary but we have open source clients, dataset, and applications repositories." }, "dev_languages": { "value": [ - "" + "c++" ], - "source_url": "", + "source_url": "https://github.com/aperture-data", "comment": "" }, - "vector_launch_year": 0, + "vector_launch_year": 2021, "metadata_filter": { - "support": "", - "source_url": "", - "comment": "" + "support": "full", + "source_url": "https://docs.aperturedata.io/concepts/Schema", + "comment": "Complete graph database support alongside vector search" }, "hybrid_search": { "support": "", @@ -37,9 +37,9 @@ "comment": "" }, "facets": { - "support": "", - "source_url": "", - "comment": "" + "support": "full", + "source_url": "https://docs.aperturedata.io/query_language/Reference/shared_command_parameters/results", + "comment": "Results can be aggregated on property values" }, "geo_search": { "support": "", @@ -47,9 +47,9 @@ "comment": "" }, "multi_vec": { - "support": "", - "source_url": "", - "comment": "" + "support": "partial", + "source_url": "https://docs.aperturedata.io/HowToGuides/Applications/similarity_search#all-of-the-above-and-some-more-can-be-done-by-executing-this-through-adb-cli", + "comment": "You can attach multiple embeddings per source of data for multimodal data types in different embeddings collections or within the same (regions of interest or full data embeddings)." }, "sparse_vectors": { "support": "", @@ -67,14 +67,14 @@ "comment": "" }, "embeddings_text": { - "support": "", - "source_url": "", - "comment": "" + "support": "full", + "source_url": "https://docs.aperturedata.io/HowToGuides/Ingestion/Updates#transformations-while-loading", + "comment": "You can plug-in user-defined or off-the-shelf text embedding models when adding text blobs in the form of new generators" }, "embeddings_image": { - "support": "", - "source_url": "", - "comment": "" + "support": "full", + "source_url": "https://docs.aperturedata.io/HowToGuides/Ingestion/Updates#transformations-while-loading", + "comment": "You can plug-in user-defined or off-the-shelf image embedding models when adding images to introduce any number of embedding per image, in different collections" }, "embeddings_structured": { "support": "", @@ -92,24 +92,24 @@ "comment": "" }, "langchain": { - "support": "", - "source_url": "", + "support": "full", + "source_url": "https://docs.aperturedata.io/Integrations/langchain_howto", "comment": "" }, "llamaindex": { - "support": "", - "source_url": "", - "comment": "" + "support": "partial", + "source_url": "https://github.com/aperture-data/llama_index", + "comment": "Yet to contribute upstream but deployed with customer" }, "managed_cloud": { - "support": "", - "source_url": "", - "comment": "" + "support": "full", + "source_url": "https://cloud.aperturedata.io/", + "comment": "VPC options and community edition available as well" }, "pricing": { - "value": "", - "source_url": "", - "comment": "" + "value": "Instance-based hourly (cloud) or annual (VPC) pricing with free trial", + "source_url": "http://aperturedata.io/pricing", + "comment": "Priced generally by number of database instances, support level, and resource tier. Free trial and cloud pricing are on website. Custom pricing for VPC deployments." }, "in_process": { "support": "none", @@ -127,33 +127,33 @@ "comment": "" }, "ephemeral": { - "support": "", + "support": "partial", "source_url": "", - "comment": "" + "comment": "Not documented externally." }, "sharding": { - "support": "", + "support": "partial", "source_url": "", - "comment": "" + "comment": "Not documented externally." }, "doc_size": { "bytes": 0, - "unlimited": false, - "source_url": "", - "comment": "" + "unlimited": true, + "source_url": "https://docs.aperturedata.io/administration/Configuring%20ApertureDB", + "comment": "You can store large or small files but need to change the `max_connection_message_size_mb` for adding or querying files larger than 256MB. For very large files like GBs of video, it will require optimizations to send over network or would be slow." }, "vector_dims": { "value": 0, "unlimited": true, - "source_url": "", - "comment": "" + "source_url": "https://docs.aperturedata.io/query_language/reference/descriptor_commands/desc_set_commands/AddDescriptorSet", + "comment": "Unlimited. Currently tested up to 4096 dims" }, "index_types": { "value": [ - "HNSW" + "HNSW", "FLAT", "IVF" ], - "source_url": "", - "comment": "" + "source_url": "https://docs.aperturedata.io/query_language/Reference/descriptor_commands/desc_set_commands/AddDescriptorSet#details", + "comment": "New indexes introduced as needed. Multiple distance metrics supported." }, "github_stars": { "value": 0, @@ -185,4 +185,4 @@ "comment": "", "value_90_days": 0 } -} \ No newline at end of file +}