The RAG Symbol Graph Tool
Query a symbol graph of an indexed repository to find where things are defined and used — so an agent can traverse a codebase by structure, not just text.
Your answer exists — retrieval just can’t find it
Private knowledge is only useful if an agent can retrieve exactly the right piece and ground its answer in it. Keyword search misses, hosted RAG can’t touch sensitive data, and ungrounded models make things up.
Keyword search misses
The right content is phrased differently than the query.
Ungrounded answers
Without retrieval, models invent instead of cite.
Scale hides signal
The best chunk is buried among thousands of near-matches.
Hosted RAG is off-limits
Sensitive knowledge can’t go to a third-party index.
RAG Symbol Graph, without the risk
Capability
What it does
Navigate a codebase by symbols and references.
it queries a symbol graph of an indexed repository to return definitions, references, and relationships for a symbol.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
it builds and traverses a structural graph of the code, so an agent can follow definitions and usages precisely instead of guessing from text matches.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
Indexing and retrieval run on-premise or in your sovereign cloud, scoped per tenant and audit-logged, so even sensitive knowledge is searchable and citable without any of it leaving your perimeter.
Per-tenant, logged
Parameters
The rag.symbol_graph tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: all Optional Which relationships to return. definitionsreferencesall
How the RAG Symbol Graph tool works in practice
RAG Symbol Graph is a semantic search & rag tool you assign to a VDF AI agent. It queries a symbol graph of an indexed repository to return definitions, references, and relationships for a symbol. Its hallmarks — Symbols, Definitions, References — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, it builds and traverses a structural graph of the code, so an agent can follow definitions and usages precisely instead of guessing from text matches. It expects repo and symbol as required inputs, so calls are explicit and easy to audit. Every call is scoped to the requesting tenant and written to an audit log, so the capability is safe to run inside a regulated, on-premise environment — the same governance model behind every VDF AI tool.
Teams reach for RAG Symbol Graph when they need to handle definition lookup, impact analysis, and onboarding. It rarely works alone — pair it with RAG Grep, Find References, and Repository MAP to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where RAG Symbol Graph pays back
Definition lookup
Jump to where a function or type is defined.
Impact analysis
Find every reference before changing a symbol.
Onboarding
Trace how a component connects to the rest.
Precise edits
Ground a refactor in the real reference set.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the RAG Symbol Graph tool
What is the RAG Symbol Graph tool?
It queries a symbol graph of an indexed repository to return definitions, references, and relationships for a symbol. Assigned to a VDF AI agent, it runs under role-based policy with full audit logging so the capability is safe to use in production.
What does it return?
The definitions and references for a symbol, with locations, so an agent can navigate by structure.
How does it pair with grep?
Symbol graph gives structural precision; grep gives literal reach. Together they cover both.
What inputs does the RAG Symbol Graph tool need?
It requires repo and symbol, and optionally accepts relation. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with RAG Symbol Graph?
RAG Symbol Graph is commonly assigned alongside RAG Grep, Find References, and Repository MAP. On VDF AI you compose several tools and agents into a single governed, on-premise network.
Does it run on-premise?
Yes. Like every VDF AI tool, it can run on-premise or in your sovereign cloud, scoped per user and audit-logged, so your data never leaves your perimeter.
How do agents use it?
You assign the tool to an agent under a role-based policy; the agent calls it as one step in a task, and several agents and tools can be orchestrated together as a governed VDF AI Network.
Assign RAG Symbol Graph to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Put RAG Symbol Graph to work
See the RAG Symbol Graph tool assigned to an agent and orchestrated in a governed, on-premise network.