Bixel

LanceDB

Lancedb.com
Product Capabilities

Hybrid search platform

As of July 21, 2026, LanceDB's features: 23 stated capabilities including hybrid search, reranking, and RAG, plus 17 integrations cover the core AI pipeline stack; a buyer should verify which capabilities are generally available versus roadmap before committing.

High confidence · 40 dated facts
Corroborated across multiple dated, sourced facts.
Capabilities
Hybrid SearchFull Text SearchVector SearchMetadata FilteringMultimodal SearchFeature EngineeringData VersioningDeduplicationNamespacesEmbedded DeploymentDistributed IndexingDistributed QueryRerankingPython UdfsSchema EvolutionGit Style BranchingGeospatial IndexingSQL QueriesRAGVersioningGPU Accelerated IndexingRandom AccessLate Materialization
Integrations
DuckdbSparkRayLlamaindexHugging FaceDSPyLangchainVoxel51CrewaiPyTorchAWS S3CohereApache IcebergDelta LakeHiveAWS GlueDatabricks Unity Catalog
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.data-versioningData Versioningcompany stated2026-07-17lancedb.com/contact
features.deduplicationDeduplicationcompany stated2026-07-17lancedb.com/contact
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 stated2026-07-17lancedb.com/contact
features.full-text-searchFull Text Searchcompany stated2026-07-17lancedb.com/contact
features.geospatial-indexingGeospatial Indexingcompany stated2026-07-17lancedb.com/contact
features.git-style-branchingGit Style Branchingcompany stated2026-07-17lancedb.com/contact
features.gpu-accelerated-indexingGPU Accelerated Indexingcompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.hybrid-searchHybrid Searchcompany stated2026-07-17lancedb.com/contact
features.integration.apache-icebergApache Icebergcompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.aws-glueAWS Gluecompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.aws-s3AWS S3company stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.cohereCoherecompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.crewaiCrewaicompany stated2026-07-17lancedb.com/contact
features.integration.databricks-unity-catalogDatabricks Unity Catalogcompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.delta-lakeDelta Lakecompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.integration.dspyDSPycompany stated2026-07-17lancedb.com/contact
features.integration.duckdbDuckdbcompany stated2026-07-17lancedb.com/contact
features.integration.hiveHivecompany stated2026-07-21www.lancedb.com/blog/series-a-funding
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.late-materializationLate Materializationcompany stated2026-07-21www.lancedb.com/blog/series-a-funding
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.python-udfsPython Udfscompany stated2026-07-17lancedb.com/contact
features.ragRAGcompany stated2026-07-17lancedb.com/contact
features.random-accessRandom Accesscompany stated2026-07-21www.lancedb.com/blog/series-a-funding
features.rerankingRerankingcompany stated2026-07-17lancedb.com/contact
features.schema-evolutionSchema Evolutioncompany stated2026-07-17lancedb.com/contact
features.sql-queriesSQL Queriescompany stated2026-07-17lancedb.com/contact
features.vector-searchVector Searchcompany stated2026-07-17lancedb.com/contact
features.versioningVersioningcompany stated2026-07-21www.lancedb.com/blog/series-a-funding
Features across Vector DatabasesLanceDB ranked in place · tap through for each read
CompanyFeatures readFacts
ZillizHybrid search platform79
QdrantHybrid search platform50
VectaraRAG platform48
ChromaHybrid search platform42
LanceDB this recordHybrid search platform40
ActiveloopRAG platform37
TopKHybrid search platform33
PineconeReranking platform31
TurbopufferMulti-tenancy platform31
KDB.AIFocused feature set18
VespaHybrid search platform17
EpsillaRAG platform16
MarqoFocused feature set5

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

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.hybrid-search",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.full-text-search",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.vector-search",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      {
        "key": "features.metadata-filtering",
        "value": true,
        "provenance": "company_stated",
        "as_of": "2026-07-17",
        "source_url": "lancedb.com/contact"
      },
      "…"
    ]
  }
}
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.