Error: Invalid index

Not specified by the original author.

TL;DR: The query names an index that does not exist, is the wrong type, or is still building. Check getSearchIndexes before touching the query. Confirm Run db.[collection].getSearchIndexes(). Check three things: 1.

The error

index not found

The fix

1. The name matches exactly, including case.
2. The type is vectorSearch, not search. A full-text index cannot serve $vectorSearch.
3. The status is READY. BUILDING or FAILED explains everything.
4. Name or type wrong: fix the query or recreate the index with the right type.
5. Still building: wait. Poll getSearchIndexes() until READY. Large collections take a while.
6. FAILED: check the index definition (usually a bad field path or mismatched options), delete, and recreate.

When to use this

• You are seeing this exact error message; match the block above, not just part of it.
• The failing call matches the scenario in the title: Atlas error.
• You want the fastest verified fix before digging through logs.

When not to use this

• Your error text differs from the block above; close cousins often have different causes.
• The stack trace points at a different component than the one in the title.
• You already applied this fix and the error persists; look for a second cause instead of reapplying.

Compatibility

• Not pinned to a specific version; follows current Atlas behavior.

Also seen as

• FAILED

Vector search index lifecycle (BUILDING to READY) and the vectorSearch vs search type distinction per the MongoDB Atlas Search documentation at https://www.mongodb.com/docs/search/indexes/manage-indexes/, verified 2026-09-26.

Not specified by the original author.

ombud answer library search returns no results error: how to fix it

Zero-result search with a populated library means the search index is empty or out of date. Check the index status in admin settings, force a reindex, and wait for it to complete before testing. Also confirm the search scope is not restricted to an empty collection.

ombud answer library search returns no results error

When to use this skill

• Search returns nothing while answers exist in the library
• Index timestamp is days older than the newest answer

When not to use this skill

• Some answers appear but others are missing (a partial index)
• Search returns others answers that belong to a different library (a permission scope)

Tool compatibility

Ombud answer library search and indexing. Related area: search and knowledge tooling.

Related area: proposal automation and agent-assisted RFP workflows.

Cloud UIs change labels over time; if a button moved, search settings for the closest match.

Before you start

• Sign in to the tool and keep one tab open so sessions stay clean
• Copy the exact error text and note the time it happened
• Set aside 15 to 20 minutes; most of these resolve in a single pass

Quick diagnosis

Make sure this is the right skill before you invest the 15 minutes.

• If you are dealing with search returns nothing while answers exist in the library, start at step 1 below.
• If instead some answers appear but others are missing (a partial index), stop here; you need a different skill.
• If neither quite matches, compare your screen against the verbatim error block at the top; that block is exactly what this skill covers.

Fix it in steps

1. Check the search index status

Open admin settings and find the search index status line.

Expected: Expected: status reads indexed with a recent timestamp, or flags that indexing never ran.

2. Force a reindex

Start a full reindex from the admin panel and leave the tab open.

Expected: Expected: progress indicator moves; completion message appears.

3. Widen the search scope

Set the search scope to all collections instead of one collection.

Expected: Expected: the same query now returns results.

4. Test with an exact answer title

Search for an answer title word for word.

Expected: Expected: that answer appears as the top result.

Confirm each step worked

Run through this checklist before moving on. If a check fails, redo that step instead of pushing ahead.

• Step 1 (check the search index status): Expected: expected: status reads indexed with a recent timestamp, or flags that indexing never ran.
• Step 2 (force a reindex): Expected: expected: progress indicator moves; completion message appears.
• Step 3 (widen the search scope): Expected: expected: the same query now returns results.
• Step 4 (test with an exact answer title): Expected: expected: that answer appears as the top result.

Quick recap

1. Check the search index status
2. Force a reindex
3. Widen the search scope
4. Test with an exact answer title

Still stuck?

Gather three things: the exact error text, the time it happened, and what changed just before it broke. Check the vendor status page for an active incident. Then open a support ticket with those three things; it cuts the back-and-forth in half. For agent runs, attach the last 50 lines of the agent log too, since the loop or timeout signature in the log usually names the cause.

Variant phrasings

ombud search no results

Reindex plus scope check is the fix. If this matches what you saw, the steps above apply as written.

ombud library search broken

Empty or stale index is the cause. If this matches what you saw, the steps above apply as written.

Why it happens

Search reads from a prebuilt index, not the live library, so answers saved after the last index build are invisible to it. An index that never built in the first place returns zero results for everything.

Edge cases

• Reindexing on a huge library can take an hour; schedule it off peak
• Collection-scoped search hides answers silently; default new users to all collections
• A stuck index job usually needs a support ticket; note the job id from the status page

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_VkClcgWpzqYACPkBCIijEQ

Resolved from the public thread: https://vectle.com/posts/pst_VkClcgWpzqYACPkBCIijEQ

Thread query: ombud answer library search returns no results error

TL;DR:

Not specified by the original author.

TL;DR: The cluster is fine; the index name is wrong. List the indices that actually exist and fix the name in your query. Typos and date-suffixed index patterns are the usual culprits.

{"error":{"root_cause":[{"type":"index_not_found_exception","reason":"no such index [logs-2026.10.02]"}]}}

Fix it

1. List the indices that exist. Use the MCP server's list-indices tool, or curl:

curl -u elastic:YOUR_PASSWORD "your-cluster/_cat/indices?v"

Expected: a table of index names. Compare against the name in your query.

2. Fix the name. Common mistakes:

   • Date math: logs-2026.10.02 vs logs-2026-10-02 (dots vs dashes).
   • Aliases vs concrete names: query the alias, not the backing index, or vice versa.
   • Case: index names are lowercase by convention; uppercase fails.

3. If the index should exist but does not, create it or check you are pointed at the right cluster (dev vs prod URLs get mixed up).

   Expected: the search returns hits instead of the exception.

When to use this

• Auth and connection work, but searches fail with index_not_found_exception.
• The index name contains a date or was typed by hand.

When NOT to use this

• The error is 401 or 403. That is auth, not the index name.
• All indices are missing. Then you are pointed at the wrong cluster.

Compatibility

• elastic/mcp-server-elasticsearch, any Elasticsearch client.
• Elasticsearch 7.x, 8.x.

Why it happens

Elasticsearch treats index names as exact identifiers with no fuzzy matching. MCP agents often construct index names from dates or guess them from context, and a single wrong character produces this error instead of results. It is the search equivalent of a typo in a table name.

Edge cases

• Wildcards (logs-*) avoid the exact-name problem but can hit too many indices. Prefer them for exploration, exact names for production queries.
• Data streams have a backing-index naming scheme. Query the data stream name, not the .ds- backing index.
• If the index was just created, allow a moment for cluster state to propagate, though this is rarely the issue.

The elastic/mcp-server-elasticsearch exposes search tools that take an index name. Querying a nonexistent index returns indexnotfoundexception with nosuchindexexception type. This is standard Elasticsearch behavior: index names are exact, and a typo, a date-suffixed index that has not been created yet, or an index in a different cluster all produce this error. The fix is listing indices via the MCP server's list-indices tool or _cat/indices and correcting the name.