Bixel

Vectara

Vectara, Inc.·Vectara.com
Company Overview

As of October 20, 2026: Vectara is an enterprise agentic RAG platform where every pricing tier, including SaaS and VPC, requires a sales conversation.

The platform covers 25 stated capabilities spanning agentic RAG, hybrid search, and multimodal data, backed by SOC 2 Type II and HIPAA certifications. A 30-day free trial exists but carries no published limits, so a prospect cannot self-qualify cost before talking to sales.

Backed by 92 dated facts
Drawn from 8 dimensions of the record, each dated and sourced.
models
4
Sep 2026
open roles
4
Oct 2026
integrations
4
Sep 2026
technologies
36
observed
dated changes
460
Oct 2026
The record, by dimensionevery dimension is its own page →
PricingBacked by 8 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Enterprise, sales-led
across 30 Day Free Trial, On-prem, SaaS, and VPC, contact-sales.
Full pricing read →
Features
Agentic RAG platform
25 stated capabilities incl. agentic RAG, hybrid search, and multimodal +2 more, 4 integrations, 4 models.
Backed by 30 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 1 controls incl. VPC Peering.
Backed by 3 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
4 open roles
4 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, Argocd, Bazel, and Clickhouse +22 more, the backend stack fingerprinting can't see (company stated). AWS appears in both, verified.
Backed by 37 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Positioning
Enterprise 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 History460 dated events on the record
Feature added: Serverless
Feature removed: Air Gapped
Feature added: Data Retention
Feature removed: MCP Support
Feature added: Multi Modal
Technology added: Grpc
Technology added: Datadog
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": "2026-09-24",
            "source_url": "www.vectara.com/legal/security-at-vectara"
          },
          {
            "key": "features.model_count",
            "value": 4,
            "provenance": "company_stated",
            "as_of": "2026-09-24",
            "source_url": "www.vectara.com/business/platform/models"
          },
          {
            "key": "hiring.open_roles",
            "value": 4,
            "provenance": "company_stated",
            "as_of": "2026-10-20",
            "source_url": "job-boards.greenhouse.io/vectara/jobs/5165682008"
          }
        ]
      },
      "…": "…"
    }
  }
}
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.