Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
Agentic RAG
Agentic RAG needs data sources that agents can inspect.
Agentic RAG systems retrieve while they plan. That makes data shape, source evidence, and delivery metadata more important than a pile of scraped chunks.
Synorb supplies Manifests from watched Streams so an agent can inspect fresh context, preserve citations, and route the right objects into downstream steps.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For source-backed data sources for agents that retrieve while planning, 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 are agentic RAG data sources?
They are data sources an agent can query, inspect, cite, and route while using retrieval as part of a multi-step workflow.
Why do agentic RAG systems need source metadata?
Agents often choose what to trust or show users. Source URLs, dates, and stable IDs make that choice auditable.
How does Synorb fit agentic RAG?
Synorb exposes Streams and Manifests through MCP for agent exploration and REST for production app paths.
Can this work with vector search?
Yes. Teams can embed Manifests while preserving IDs, dates, source URLs, and tags as structured metadata.
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.