• INDEX
  • STATS
  • SCHEMA
  • HUMAN

How to audit vector indexes with your AI

Connect your Oracle database once. From there, your AI handles the inspection of index types and table health.

Ask AI about this page

Short answer

How can I audit my Oracle vector indexes using AI?

Your AI uses database tools to pull index metadata and table statistics from your Oracle 23ai instance. You'll get a clear view of your HNSW and IVF configurations and the underlying data distribution.

Audit outcomes

What you'll find

The specific data points your AI gathers during an audit.

INDEX

Index configuration check

The AI identifies which tables use HNSW or IVF. You'll see exactly how your vector indexes are structured.

STATS

Table health report

Your agent pulls statistics to show row counts and data distribution. This helps you spot skewed data or empty tables.

SCHEMA

Table structure review

The AI inspects column types and constraints. You'll know if your vector columns match your expected dimensions.

HUMAN

Manual tuning required

The AI identifies issues like poorly tuned parameters. You'll need to step in to manually adjust the index settings.

The workflow

What your AI does when the audit request arrives.

The AI moves from high-level discovery to specific data inspection.

  1. Discover indexes

    The AI scans your database to find all existing vector-based indexes.

    list_vector_indexes

  2. Inspect table structure

    It looks at the specific columns and data types within your target tables.

    describe_table

  3. Gather statistics

    The agent pulls metadata about row counts and data density to check index efficiency.

    table_stats

  4. Summarize findings

    The AI compares the index types against your table stats to highlight potential bottlenecks.

    list_vector_indexestable_stats

Try it

Copy these to start.

Use these prompts to kick off your audit.

Starting points

Replace the table names with your actual Oracle schema names.

Oracle Database Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Oracle Database capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "oracle-vector-db-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/mcp"
    }
  }
}
Copy into chat04

  • List all vector indexes in my database and tell me which ones are HNSW.

  • Check the statistics for the CUSTOMER_EMBEDDINGS table.

  • Describe the structure of the PRODUCT_VECTORS table and check its indexes.

  • Are my IVF indexes properly sized based on the current table statistics?

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Oracle Vector DB once, then ask.

Just link your database to the MCP. Your credentials stay encrypted and you can start auditing immediately.

Connect Oracle Vector DB to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my index parameters?

    No. The AI can only read and inspect your existing configuration. You must manually run any ALTER INDEX commands.

  • 02

    Can the AI delete my vector data?

    No. The tools provided are strictly for inspection and reading metadata.

  • 03

    Does it work with non-vector indexes?

    The specific vector audit tools focus on HNSW and IVF indexes used for vector search.

  • 04

    Can I audit my entire database at once?

    The AI works best when you target specific tables or index groups in your prompt.

  • 05

    Will the AI see my actual vector values?

    The AI uses tools to see metadata and statistics, not the raw high-dimensional vector data itself.

  • More questions about Oracle Vector DB? The Connector page answers them. See everything the Oracle Vector DB Connector can do

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