Vectara

Vectara, Inc.·Vectara.com
Company Overview

As of October 30, 2026: Vectara is an AI platform.

It sells enterprise, sales-led, is compliance-ready, and is hiring.

Backed by 117 dated facts
Drawn from 8 dimensions of the record, each dated and sourced.
The record, by dimensionevery dimension is its own page →
PricingBacked by 7 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Enterprise, sales-led
across On-prem, SaaS, and VPC, contact-sales.
Full pricing read →
Features
Hybrid search platform
35 stated capabilities incl. hybrid search, MCP, and RAG +1 more, 12 integrations, 4 models.
Backed by 48 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Security
Compliance-ready
Holds SOC 2 Type II and HIPAA, and 2 controls incl. Audit Logs and SSO.
Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Reliability
Operational
0 incidents in 90 days; status page currently operational (public).
Backed by 3 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Hiring
7 open roles
7 open roles across platform engineering and ml and sales, remote-friendly.
Backed by 5 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Stack
Detected + stated stack
Runs AWS, Cloudflare, Google Analytics, and Google Tag Manager +5 more on the live site (observed). Job postings additionally state Aerospike, Airflow, Argocd, and Azure +28 more, the backend stack fingerprinting can't see (company stated). AWS and React appear in both, verified.
Backed by 43 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Positioning
AI Platform
Leads with "Unify data. Deliver context. Trust every answer.". Frames itself for enterprise.
Backed by 4 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Legal
Vectara, Inc.
The registered entity is Vectara, Inc..
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.
Full read →
Change History487 dated events on the record
Feature removed: Bring Your Own Model
Feature added: AWS
Feature removed: Hallucination Correction
Feature removed: BYOM
Feature added: Metadata Filtering
Feature added: Access Controls
Security signal removed: VPC Peering
IdentityBixel ID · free forever
Bixel IDbxc_gjjcv9tpt30gbrandID in service · identity is free forever · permalink
Operated by

No registered company joined yet. Would resolve with: a registry identifier for the entity; a legal page on the site naming the registered company.

Registry identifiers

None on record.

Published identifiers
  • GitHub vectara · inferred
  • LinkedIn vectara · inferred
  • X vectara · inferred
  • YouTube channel/UCoP_hcyjJRLQr0CV050bfMg · inferred
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/vectara.com

{
  "data": {
    "company": {
      "name": "Vectara",
      "domain": "vectara.com",
      "categories": [
        "vector-databases"
      ]
    },
    "dimensions": {
      "security": {
        "facts": [
          {
            "key": "security.cert.hipaa",
            "value": true,
            "provenance": "company_stated",
            "as_of": "2026-10-30",
            "source_url": "www.vectara.com/legal/security-at-vectara"
          },
          {
            "key": "features.model_count",
            "value": 4,
            "provenance": "company_stated",
            "as_of": "2026-10-30",
            "source_url": "www.vectara.com/business/platform/models"
          },
          {
            "key": "hiring.open_roles",
            "value": 7,
            "provenance": "company_stated",
            "as_of": "2026-10-30",
            "source_url": "job-boards.greenhouse.io/vectara/jobs/4886689008"
          }
        ]
      },
      "…": "…"
    }
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "vectara.com" })

# returns the whole 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.
How Bixel reads this

Every read above is derived from public signals, each sourced and dated, and kept honest about provenance: what the company states on its own pages and job posts (pricing, security, careers, positioning, its backend stack) versus what Bixel independently detects (technologies, infrastructure). Where a stated claim is also detected we mark it verified; where we only have the claim, we say so. Bixel infers posture: how it monetizes, how mature it is, where it's heading. It does notclaim private financials it can't observe. Where signals are thin, the record says so.

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