Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
RAG ingestion
A RAG ingestion API should preserve citations before retrieval.
RAG quality starts before retrieval. If ingestion loses the source URL, date, tag, or stable ID, the answer layer has less to cite and audit later.
Synorb delivers source-grounded Manifests that can enter retrieval stores, vector indexes, or relational tables with provenance still attached.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For fresh source-backed inputs for retrieval stores and answer systems, the useful unit is not a loose search result. It is an object the agent can retrieve, cite, filter, store, and audit.
Grounding
Evidence stays attached
Source URLs, dates, and stable IDs help the application cite, inspect, and audit what the model used.
Delivery
MCP, REST, webhooks, and archives
Agents can explore through Core MCP. Production systems use REST and webhooks for current delivery. The live window covers the current calendar month plus the previous three full months; S3 archive exports support historical backfills and replay for older months.
02 / Shape
A Manifest is the object the agent can use.
This JSON manifest is the source-grounded object delivered through MCP or REST. It is compact enough for an agent workflow and explicit enough for an application to store, cite, and audit.
Manifest excerptJSON
{
"manifest_id": "1777525429698648000",
"headline": "Source-grounded update for an AI workflow",
"summary": "What changed, why it matters, and what source supports it.",
"source": {
"name": "Watched source",
"url": "https://source.example/update",
"published_date": "2026-06-21"
},
"delivery": {
"mcp": "https://mcp.synorb.com/mcp",
"rest": "https://api.synorb.com"
},
"tags": ["company", "topic", "source-backed"]
}
03 / Fit
Where Synorb fits in the workflow.
Use Synorb when your team already knows the sources or topics it needs to monitor, and the workflow needs current context again and again. Use search or crawling for open-ended discovery.
Agents
Pull live context
Use Synorb MCP to discover Streams, inspect details, and retrieve Manifests inside an agent workflow.
RAG
Load before prompts
Push source-grounded Manifests into retrieval stores before users ask for current answers.
Apps
Render with citations
Build dashboards, feeds, monitors, and briefings with source URLs available at display time.
FAQ
Short answers for AI builders.
What is a RAG ingestion API?
A RAG ingestion API sends current, structured content into retrieval systems before prompts ask for answers.
What should a RAG ingestion object include?
It should include source URL, source date, stable ID, summary, tags, and provenance fields that survive embedding and retrieval.
How does Synorb support RAG ingestion?
Synorb emits Manifests from watched Streams so teams can ingest current source-grounded objects into vector stores or databases.
Does Synorb replace my retriever?
No. Synorb supplies fresh, cited input. Your retriever decides how to index, rank, and return it.
Test
Test Synorb feeds for free.
Want to connect to Synorb's graph to test source-grounded feeds for free? Start with free test credentials, then connect through Core MCP or REST.
Free test credentialscurl
curl -s https://synorb.com/connect
Start
Give your agent fresh source-backed context.
Start with keys, then connect through Core MCP while building or REST when your application owns the workflow.