LanceDB

Product Capabilities

Hybrid search platform

As of September 2, 2026, LanceDB's features: 16 stated capabilities anchored by hybrid search and reranking, plus 9 integrations, cover the core retrieval stack a production AI application needs, though stated capability counts are self-reported and should be tested against your specific query patterns.

Backed by 25 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Capabilities
Distributed IndexingDistributed QueryEmbedded DeploymentFeature EngineeringFull Text SearchGeospatial IndexingHybrid SearchMetadata FilteringMultimodal SearchNamespacesRandom AccessRerankingScalar IndexingSchema EvolutionVector SearchVersioning
Integrations
CrewaiDuckdbHugging FaceLangchainLlamaindexPyTorchRaySparkVoxel51
Features Change Historydated events · values unlock with a key
Feature removed: Blob Storage · high significance
Feature removed: Multimodal · high significance
Feature removed: Serverless · high significance
Feature removed: Zero Copy · high significance
Feature removed: LLM As Udf · high significance
Feature removed: SQL Analytics · high significance
Feature removed: TypeScript · high significance
Feature removed: Jax · high significance
Every features fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
features.distributed-indexingDistributed Indexingcompany stated2026-07-17lancedb.com/contact
features.distributed-queryDistributed Querycompany stated2026-07-17lancedb.com/contact
features.embedded-deploymentEmbedded Deploymentcompany stated2026-07-17lancedb.com/contact
features.feature-engineeringFeature Engineeringcompany stated2026-09-02www.lancedb.com/blog/series-a-funding
features.full-text-searchFull Text Searchcompany stated2026-07-17lancedb.com/contact
features.geospatial-indexingGeospatial Indexingcompany stated2026-09-02www.lancedb.com/blog/series-a-funding
features.hybrid-searchHybrid Searchcompany stated2026-07-17lancedb.com/contact
features.integration.crewaiCrewaicompany stated2026-07-17lancedb.com/contact
features.integration.duckdbDuckdbcompany stated2026-07-17lancedb.com/contact
features.integration.hugging-faceHugging Facecompany stated2026-07-17lancedb.com/contact
features.integration.langchainLangchaincompany stated2026-07-17lancedb.com/contact
features.integration.llamaindexLlamaindexcompany stated2026-07-17lancedb.com/contact
features.integration.pytorchPyTorchcompany stated2026-07-17lancedb.com/contact
features.integration.rayRaycompany stated2026-07-17lancedb.com/contact
features.integration.sparkSparkcompany stated2026-07-17lancedb.com/contact
features.integration.voxel51Voxel51company stated2026-07-17lancedb.com/contact
features.metadata-filteringMetadata Filteringcompany stated2026-07-17lancedb.com/contact
features.multimodal-searchMultimodal Searchcompany stated2026-07-17lancedb.com/contact
features.namespacesNamespacescompany stated2026-07-17lancedb.com/contact
features.random-accessRandom Accesscompany stated2026-07-17lancedb.com/contact
features.rerankingRerankingcompany stated2026-07-17lancedb.com/contact
features.scalar-indexingScalar Indexingcompany stated2026-07-17lancedb.com/contact
features.schema-evolutionSchema Evolutioncompany stated2026-07-17lancedb.com/contact
features.vector-searchVector Searchcompany stated2026-07-17lancedb.com/contact
features.versioningVersioningcompany stated2026-07-17lancedb.com/contact
Features across Vector DatabasesLanceDB ranked in place · tap through for each read

No observed features facts yet for Marqo, Milvus and MyScale.

Get features for lancedb.com via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/lancedb.com/facts?dimension=features

{
  "data": {
    "facts": [
      {
        "key": "features.distributed-indexing",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.distributed-query",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.embedded-deployment",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.feature-engineering",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-09-02",
        "source_url": "www.lancedb.com/blog/series-a-funding"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "lancedb.com", dimension: "features" })

# returns the features record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.