Your AI is only as good
as your data

One platform to ingest, search, and retrieve your content — so your AI stops guessing and starts knowing.

Three API calls. Raw content to grounded answers.

Upload a file. Search by meaning. Get AI-generated answers with citations. The entire pipeline in one authenticated interface.

gloocode — ~/dev/my-app
> Ingest quarterly-report.pdf into my knowledge base
 
agent:plan Uploading and processing document...
POST /ingestion/v2/files
 
✓ Uploaded quarterly-report.pdf (2.4 MB)
✓ Parsed 47 pages, extracted 18 tables
✓ Chunked into 312 semantic segments
✓ Embedded and indexed
 
> Search for "Q3 revenue growth drivers"
 
agent:search Querying content index...
POST /ai/data/v1/search
 
[0.94] "Revenue grew 23% YoY driven by enterprise expansion..."
[0.91] "The primary growth factors included new market entry..."
[0.87] "Enterprise ARR reached $14.2M, up from $11.5M..."
 
> Summarize Q3 performance with citations
 
agent:generate Generating grounded response...
POST /ai/v2/chat/completions
 
Q3 revenue increased 23% YoY, driven primarily by enterprise
account expansion and new market entry. Operating margin
improved to 18.4%, up from 15.1% in Q2.
 
Sources: quarterly-report.pdf — pages 4, 12, 31
9,000
chunks processed and counting

Sound familiar?

Your content is trapped in formats AI can't use

PDFs, videos, web pages, feeds — none of it is searchable or retrievable without a custom pipeline.

Your users ask questions. Keyword search returns links.

They want answers. They get ten blue links and have to find the answer themselves.

Metadata is manual and incomplete

Tagging, classification, and summaries done by hand — or not at all.

Building AI on your data shouldn't require 7+ services

A web scraper. A transcription service. A vector database. An embedding API. A search backend. A custom ETL pipeline. Each one a separate vendor, a separate bill, a separate integration to maintain.

Building it yourself

7+ services to stitch together

  • Web scraper
  • Transcription service
  • Vector database
  • Embedding API
  • Search infrastructure
  • Custom ETL pipeline
  • Enrichment layer

Gloo Data Engine

One platform. One API.

  • Ingest any content type
  • Transcribe video & audio
  • Embed & index automatically
  • Semantic + hybrid search
  • Grounded completions with citations
  • Content recommendations
  • 90+ enrichment dimensions
All from a single authenticated endpoint

One pipeline. Raw content in, grounded intelligence out.

Data Engine handles every step — from ingestion through embedding to retrieval. Watch your content process in real-time.

UploadSend content via API or UI
QueueDistributed task queue
FetchDownload from source
TranscribeAI speech-to-text
NormalizeExtract clean text
ChunkSplit into passages
EmbedGenerate vectors
StoreIndex for search

What builders are creating

AI-powered search for your product

Upload your knowledge base, docs, or help center. Use semantic search to power instant answers inside your app — no keyword matching, no manual tagging.

Ingest + Search API + Grounded Completions

Grounded chatbots that cite sources

Build customer-facing AI assistants that answer from your actual content — not hallucinations. Every response includes citations back to the original source.

Ingest + v2 Completions API + RAG

Searchable video and audio libraries

Transcribe hundreds of hours of video and audio automatically. Every word becomes searchable — users find content by what was said, not just the title.

Video/Audio Ingest + Transcription + Search API

Content enrichment at scale

Auto-generate summaries, classifications, sentiment scores, and entity extraction for every piece of content. Build smarter filters, recommendations, and discovery experiences.

Ingest + Enrichment API (Enterprise)

Built to work with the tools you already use

Already building with Gloo's models? Data Engine gives them memory. Already using GlooCode? Data Engine gives your apps real data to work with.

The data shows why this matters

80-90%1
Of enterprise data is unstructured
$40K-$150K+2
To build a production RAG pipeline
71%3
Hallucination reduction with RAG
76%4
Of enterprises now buy AI solutions instead of building

1Komprise, 2026 Unstructured Data Trends

2OrtemTech, Enterprise RAG Cost Guide 2026

3CMARIX, RAG & AI Trust Statistics 2026

4Beam AI, Enterprise AI Report 2026

Built for production. Secured by default.

Client Credentials OAuth2

Production-grade auth — not API keys alone

Encrypted at rest and in transit

Your content is never shared or used for training

Organization-scoped isolation

Multi-tenant by design — your data is your data

One API, every modality

Files, video, web, RSS, audio — single interface

Frequently asked questions

Data Engine is a managed RAG (Retrieval-Augmented Generation) platform that ingests your content, enriches it with AI metadata, and makes it searchable via API. It handles the entire pipeline — from raw files or feeds to production-ready semantic search and grounded completions.
Data Engine builds the search index. The Models API uses that index for Grounded Completions — AI-generated answers anchored in your actual content. Data Engine is the knowledge layer; Models is the reasoning layer on top.
Data Engine supports video, web pages, documents (PDF, DOCX, EPUB, Excel, CSV), images (with OCR), code files, archives (ZIP, TAR), RSS and Atom feeds, podcast feeds, and direct audio or video file uploads. Support for 15+ file formats up to 1GB.
Pro includes full Data Engine access: ingestion from all sources, Content Library management, semantic search, hybrid search, and grounded completions (RAG). Enterprise adds AI Enrichment — 90+ dimensions of automated content analysis including summaries, classification, entity extraction, and visualization data — plus dedicated support and higher limits.
Your content is stored in isolated, organization-scoped storage. Data is encrypted at rest and in transit. We do not train on your content or share it across organizations. Enterprise plans can request data residency options and custom security reviews.
Yes. Every capability in Data Engine is available via REST API. You can programmatically trigger ingestion, query the search index, retrieve enrichment metadata, and integrate grounded completions into your own applications. Full API documentation is available at docs.gloo.com.

Ready to ground your AI in real data?

Start building with Data Engine today. Ingest your content, search with meaning, and generate grounded answers — all from one platform.