Data, Memory & Knowledge. Pipelines
Automated Data Pipelines for Always-Fresh AI Knowledge
Connect every data source your organisation has and keep your AI knowledge base current within minutes, with 100+ connectors, automatic chunking, and 24/7 monitoring.
Confluence
Google Drive
Salesforce
GitHubOverview
What are AI data pipelines?
A RAG system or knowledge base is only as good as its data. Stale documents produce stale answers. AI data pipelines continuously sync your source systems, wikis, drives, CRMs, ticketing tools, code repositories, into a clean, chunked, embedded knowledge base. Pre-built connectors eliminate custom integration work, and 24/7 monitoring ensures pipelines recover automatically from failures.
What's included
100+ pre-built connectors
Connect Confluence, Notion, Google Drive, SharePoint, Salesforce, Zendesk, GitHub, Jira, Slack, and 90+ more sources in minutes, no custom code.
Incremental sync
Only changed documents are re-processed on each sync cycle, keeping ingest lag under 5 minutes without unnecessary compute costs.
Intelligent chunking
Documents are chunked by semantic boundaries, paragraphs, sections, code blocks, not arbitrary token counts, for higher retrieval accuracy.
Embedding pipeline
Chunks are embedded automatically using your configured embedding model. Model changes trigger automatic re-embedding of the full corpus.
Schema transformation
Map source system fields to a canonical schema with transformation rules, normalising dates, currencies, and identifiers across data sources.
24/7 health monitoring
Pipeline health is monitored continuously. Failed syncs trigger automatic retry with exponential backoff and on-call alerts for sustained failures.
How it works
From setup to production
Connect
Authenticate and connect source systems using pre-built connectors. OAuth-based connection typically takes under 5 minutes per source.
Configure
Set sync frequency, chunking strategy, embedding model, and destination (vector store, knowledge graph, or both).
Sync
The initial full sync runs immediately. Incremental syncs keep the knowledge base current within minutes of source changes.
Monitor
A pipeline health dashboard shows sync lag, error rates, and document counts per source. Alerts fire before failures impact end users.
FAQ
Common questions
Related
More from this service
Enterprise RAG
Feed your RAG system with always-fresh data from automated pipelines.
Knowledge Graph
Route pipeline output to the knowledge graph for entity extraction and relationship mapping.
Data Governance
Apply access controls and compliance rules to every document flowing through your pipelines.
Built by Solnix
See the products this work runs on
Industry suites →17 agent suites, a dashboard per department, a human checkpoint and an audit trail.
Agentic workflows →Multi-step agents that replace manual hand-offs between your tools, with a person approving what matters.
MCP servers →Let ChatGPT, Claude or Copilot look up and act on your CRM, database and tools, safely.Get started
Keep your AI knowledge base current with automated pipelines
Start with a consultation from $100. The fee is credited toward a build started within 15 days.