Connect an Agent to Your Own Data Safely
Give an agent retrieval access to your own documents without pointing it at everything, scoping both what gets indexed and what a given query can actually pull back.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Map the Agent's Actual Task to a Specific Data Scope
Name exactly which documents, folders, or sources the agent's task requires. Resist the default of pointing it at an entire shared drive 'to be safe' -- a narrower scope isn't just cleaner, it's a smaller blast radius if something later goes wrong with the agent or its credentials.
Tools
No catalog tool specified
Step 2
Exclude Sensitive Content Before It's Ever Indexed
Before ingesting anything with LlamaIndex, explicitly exclude folders and document types that carry secrets, credentials, PII, or HR and financial records. Excluding at ingestion is more reliable than trying to filter sensitive content back out after it's already been embedded into the index.
Step 3
Enforce Access Scope Again at Query Time
Store a scope tag with every indexed chunk and use Qdrant's payload filtering to constrain retrieval to only the tags a given agent or user is allowed to see. This means a mistake in the indexing scope doesn't automatically become a mistake in what the agent can retrieve -- query-time filtering is a second, independent check, not a restatement of the first one.
Step 4
Use Read-Only Credentials and Log Every Retrieval
Connect the ingestion pipeline with read-only access wherever the source system allows it, and log every query the agent makes against the index, what it asked and what it got back, so there's an audit trail to check if something looks wrong later.
Tools
No catalog tool specified
Step 5
Know Where This Still Isn't Bulletproof
Query-time filtering only protects what was tagged correctly at ingestion -- if a sensitive document was already indexed elsewhere without the same exclusion rules, scoping this agent's queries doesn't undo that. Semantic search can also occasionally surface a near-miss result that a keyword-based exclusion rule wouldn't have caught; exclusion at ingestion and filtering at query time are complementary layers, not a single guarantee.
Tools
No catalog tool specified
Time Required
3-4 hours, one-time setup
Expected Result
An agent with retrieval access scoped to exactly the data its task requires, with sensitive content excluded before indexing and access enforced again at query time, plus a log of every retrieval it makes.
Maintenance Reality
Every multi-tool workflow needs upkeep. Here's what this one typically needs.
- Typical upkeep
- 1-3 hrs/month
- Single point of failure
- The metadata tagging step at ingestion -- if a document is indexed without the correct scope tag, query-time filtering has nothing correct to enforce.
What typically breaks
- • New documents land in source folders without going through the same exclusion review, quietly reintroducing sensitive content into the index over time.
- • Metadata scope tags drift out of sync with real team or role changes, so an old tag over-grants or under-grants access without anyone deciding that on purpose.
Handover tip: Document the exclusion rules and scope-tag scheme in one place next to the ingestion pipeline config, so a successor can audit what's excluded and why instead of reverse-engineering it from what's missing.
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