Agentic RAG, Databases and Memory
Drop in a Knowledge Base node and feed any LLM the exact context it needs—no SQL, no dev tickets, no waiting
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Retrieve. Analyze. Comply.
Turn complex documents into instant answers
Instant RAG Retrieval
Query large document sets and get only the most relevant chunks—ready for the agent’s next prompt.
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Unified Knowledge Graph
Merge PDFs, emails, wikis, and SQL tables into one searchable, vector-indexed database.
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Dynamic Agent Memory
Agents store and recall conversation context on the fly, improving with every interaction.
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Pinpoint Citations
Every answer links back to its exact source, creating an auditable trail for compliance.
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Smart Metadata Filters
Slice results by tags, projects, or time ranges to keep responses laser-focused.
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Self-Healing Sync
New files and edits are auto-ingested and re-embedded, so your data is never stale.
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