What is the difference between RAG data and training data?

Training data is used to change a model's weights, while RAG data is retrieved at query time and passed to the model as context. RAG lets you update knowledge without retraining and cite sources in answers. Licences for the two uses are usually different.

How is RAG data priced?

Common models are per query, per thousand retrievals or a monthly subscription with volume tiers. Bulk access for self-hosted indexes is usually priced as an annual licence. Premium publishers may charge extra.

Why does attribution matter for grounding data?

Attribution lets users verify answers and gives credit to publishers, which many licences require. It also helps your team debug wrong answers. Make sure each passage carries a source, URL and date.

Can AI agents access data directly?

Yes, some providers offer MCP servers or tool-calling APIs that agents use to search and fetch data. Check authentication, rate limits and logging. Confirm the licence covers automated agent use.

AI and machine learning data

RAG and grounding data

Real-time licensed content for retrieval-augmented AI.

Listings: 1
Providers: 1

Filter and compare listings Request this data

RAG and grounding data listings

1 data product or service

Vistula Web Data🇵🇱
European news article feed with entities and topics
About 450,000 articles a day from 9,000 European publishers in 24 languages, with entities, IPTC topics, sentiment and duplicate clustering, by API, webhook or RAG endpoint.
News and media data Free sample4.0(2)Demo listing
Coverage
Europe
History
Since 2019
Refresh
Real time
Delivery
REST API +4
from €2.50 per 1,000 API calls above plan
Published 2026-09-09
Listed 2 months ago

About RAG and grounding data

RAG and grounding data is licensed content delivered so that AI assistants and agents can retrieve current, citable information at query time instead of relying only on what a model learned in training. It includes news, reference content, regulations, product catalogues, company data, scientific abstracts and specialist knowledge bases. AI product teams, enterprise search teams and agent developers buy it to improve accuracy, freshness and source attribution.

Typical fields

Document or chunk ID
Title, passage text and source URL
Publisher and author attribution
Publication and last-updated timestamps
Language, topic and entity tags
Pre-computed embeddings, where offered
Licence flags for display, citation and caching

Sources and methods

Providers license content from publishers and data owners, or compile public and official sources, then clean, chunk and index it. Some deliver raw documents for you to index yourself, while others offer retrieval APIs, search endpoints or MCP servers that agents can call directly. Freshness pipelines detect updates and remove withdrawn or corrected content.

Delivery and pricing

Delivery is usually through retrieval APIs, MCP servers, streaming updates or bulk files for self-hosted indexes. Pricing is often per query or per thousand retrievals with volume tiers, plus fees for bulk access or premium sources. Rights to display excerpts, cache content and use it for training are usually separate.

Before you buy

Confirm rights for retrieval, display of excerpts and caching.
Check whether training use is excluded.
Ask about update latency and how corrections and withdrawals flow through.
Require attribution metadata for citations.
Test retrieval quality on your own questions.

Last reviewed on 11 Nov 2026

Buyers looking for RAG and grounding data

All open requests

Licensed financial news archive for a RAG assistant
RAG and grounding dataUnited States, United Kingdom, Germany +1Ongoing feedDemo request
Budget
$30,000–$80,000
Proposals
0
Posted
5 days ago

Buying RAG and grounding data

Need RAG and grounding data that isn’t listed?

Describe the coverage, fields and delivery you need. Providers who sell it reply with proposals, and you choose who to talk to.

Post a data request