RAG data streams for current agent context.
A RAG data stream is a recurring feed of source-grounded context that retrieval systems can ingest, cache, cite, and refresh before the user asks a question.
Synorb delivers those streams as Manifests: Briefs, Signals, source URLs, source metadata, stable IDs, tags, and delivery metadata for MCP, REST, webhooks, and S3.
RAG data streams · Agent memory · Source-grounded retrieval
Query-time scraping makes current RAG messy.
When every answer triggers fresh discovery, the agent has to search, fetch, extract, rank, dedupe, cite, and store at the same moment it is supposed to answer. Streams move that work earlier, so current context is already available.
After training data
Use streams for events, companies, filings, research, releases, policy, media, and other surfaces that change after model training.
Ready before prompt
Keep current source-grounded objects ready for search, reranking, summarization, review, and agent memory.
Citations travel with context
Source URLs, dates, source names, Stream routing, and stable IDs stay attached to the retrieval object.
The retrieval row should carry evidence.
A useful RAG stream gives the app more than raw page text. It should provide a durable object that can enter a vector store, database, dashboard, or workflow queue with provenance intact. This JSON manifest represents the raw code data stream delivered via MCP or REST.
{
"manifest_id": "1777525429698648000",
"source_url": "https://source.example/update",
"published_date": "2026-06-17",
"brief": { "title": "Source-grounded update", "summary": "..." },
"signals": [{ "claim": "Atomic source-backed claim", "evidence": "paraphrase" }],
"tags": ["AI infrastructure", "company name"],
"stream_names": ["company-monitoring"]
}Synorb feeds the stack you already use.
Synorb does not replace your vector database, warehouse, app database, or RAG framework. It supplies the current source-grounded objects those systems need.
MCP for prototyping
Let a coding agent inspect Streams and sample Manifests while it builds the ingestion or retrieval path.
REST, webhooks, and S3
Use server-side production calls, webhook ingestion, or S3 exports to feed retrieval stores and dashboards.
Vector + relational
Embed Briefs and relevant source text, but keep Manifest IDs, source URLs, dates, tags, and citations as structured fields.
Fresh context
Answer with a current Manifest set rather than forcing the agent to rediscover sources from scratch.
The short version.
A recurring feed of source-grounded context that retrieval systems can ingest, cite, and refresh.
No. Synorb feeds vector databases, warehouses, dashboards, and agent memory with source-grounded Manifests.
Use MCP while building and REST, webhooks, or S3 from server-side production code.
Feed retrieval with current source context.
Start with keys, docs, or a build guide for your coding agent.