INDEX TEAM — APR 15, 2026
Index
Put your enterprise data to work with secure AI retrieval
Index converts text and images into embeddings so semantic search runs across your systems, RAG pipelines, and agents — turning scattered data into answers, insight, and action.
Trusted by enterprises and developers worldwide
Turn fragmented data into knowledge you can act on
From fetching content for Q&A to surfacing task-critical context for agents, Index makes retrieval fast and accurate across your data.
Fuel enterprise AI agents
Give agents the context they need to reason, call tools, and generate across every corner of your business.
How much of the supply chain sits inside the US?
Logistics agent
Searching for “How much of the supply chain sits inside the US?”
Found 9 relevant sources
Learn more about Index
INDEX TEAM — MAY 06, 2026
Why retrieval quality decides whether RAG works
INDEX TEAM — JUN 02, 2026
Embedding images and text into one searchable space
The backbone of retrieval for real-world AI
Built to handle complexity and scale, Index delivers precise retrieval across noisy, multilingual, multimodal enterprise data.
Built for business documents
Generate a single embedding for mixed documents that hold text, charts, and tables — no pre-processing pipeline to build or maintain.
CASHFLOW_REPORT.XLSX
Cash flow report 2025
Multilingual from the start
Index retrieves the right content across 100+ languages, even when the query and the source language don't match — no translation step.
Component manual (BC-200)
PDF · 232 KB
2.2 Installation steps
Deep image understanding
Map images and text into one embedding space, so charts, dashboards, and design files become as searchable as any block of text.
QUARTERLY_TARGETS.SLIDES
Readmission rates — Q1
Tuned for your industry
Index handles dense business content with precision — from financial filings to clinical records — and surfaces what each query needs.
CASHFLOW_REPORT.XLSX
Cash flow report 2025
Secure, fast, and reliable — everything production retrieval needs
Privately deployable: Run Index in your virtual private cloud, on-premises, or through a major cloud provider.
Efficient at scale: Compress embeddings by up to 96% without sacrificing quality, cutting vector storage cost.
Robust in production: Deliver accurate results across noisy, multilingual, and multimodal enterprise data.
Workplace products built on Index
Atlas
Powered by Index and its companion models, Atlas helps teams transform how they work with secure AI agents, advanced search, and generation — all in one place.
Learn moreBeacon
Unlock the value in your data with an intelligent search and discovery system that never compromises on security or governance.
Learn moreEnterprises choose Index for search and retrieval
◇ ORBIX
“Orbix is a search engine that makes it easy to shop across thousands of online stores at once. Index gives us the accuracy to surface relevant products from messy, multimodal catalog data — and a single embedding space makes our search faster and our tooling far simpler.”
— Priya Nandal, Founder
Ready to put your data to work?
Talk to our team to learn how Index integrates with your stack, improves retrieval accuracy, and scales to production.
- See how Index performs across your languages, formats, and domains
- Explore how Index and its companion models work in RAG and agent pipelines
- Find the right deployment path for your infrastructure and security needs
- Get support scaling semantic search and retrieval to production
