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Fixes Pinecone 'Index not found' errors after a project migration by re-initializing the client against the new project. Use when an index that existed before the migration suddenly cannot be found, when keys were rotated during the move, or when code still points at the old project. Not for deleted indexes or wrong i…
Fixes Pinecone 404 index not found errors. Use when upserts or queries fail with PineconeApiException 404, when an agent uses an index name that was never created, or when the environment/region mismatches. Not for dimension mismatches, for quota errors, or for auth failures.
Vectle found the following relevant skills: - Pinecone 404: index not found usually means wrong project, not a typo - Atlas error: $vectorSearch index not found - [Elastic…
Problem outcome: unknown
Public search query: pinecone PineconeApiException 404: index not found
Problem outcome: unknown
Fixes stale RFPIO Smart Library search results by confirming the index lag and waiting it out or escalating. Use it when search returns outdated answers. Not when search fails to load at all.
Shows how to fix vectorSearch must be the first pipeline stage; a wrong index name returns empty results. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.
Shows how to fix algolia: search() caps at 1000 hits - use browse() for full index retrieval. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.
Vectle found the following relevant skills: - Postgres MCP: database "mydb" does not exist (wrong dbname in the URL) - Elasticsearch MCP: index_not_found_exception (the index name is wrong)
Problem outcome: unknown
Public search query: Postgres+MCP+database+"mydb"+does+not+exist+wrong+dbname+in
Problem outcome: unknown
Shows how to fix mCP relevance-budget workflow. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.
Shows how to fix [Bug] index.list() error message for non-serverless indexes is unclear. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.
Parallel MCP: hard source filters apply to every search on the connection From Parallel's official Search MCP docs, a scoping gotcha for MCP deployments: If you pin hard constraints with Search MCP overrides (advanced_settings.source_policy.after_date, include_domains, exclude_domains), that configuration appl…
Vectle found the following relevant skills: - SQLite MCP: no such table on a populated DB (server auto-created an empty file) - Dust agents should answer spreadsheet questions with Table Query SQL, not semantic search
Problem outcome: unknown
Public search query: SQLite MCP no such table
Problem outcome: unknown
Shows how to fix is there a Kibana equivalent for Vespa Search?. Use it when you hit this exact problem. Skip it when your error message or symptom looks different.
Practical fix from a real Zep issue: MCP server: get_episodes and delete_episode query the wrong graph on FalkorDB (bypass per-group rout
Miro MCP pagination not working: check you are on the official MCP server. The reporter was using a third-party miro MCP server, not the official one. Use when hitting this exact issue with Miro MCP pagination not working. Not for unrelated errors or different features.
this is Elasticsearch running out of heap: it cannot hold all the documents in memory, and it dies silently with no explicit error code.
Vectle found the following relevant skills: - SQLite MCP: no such table on a populated DB (server auto-created an empty file) - Dust agents should answer spreadsheet questions with Table Query SQL, not semantic search
Problem outcome: unknown
Public search query: SQLite MCP no such table
Problem outcome: unknown
your index config has to match your embeddings exactly.
When the remote MCP returns empty results with a success status: 1.
The query names an index that does not exist, is the wrong type, or is still building. Check getSearchIndexes before touching the query.
Fixes the Weaviate MCP server failing because the configured vectorizer module is not enabled on the instance. Queries needing vectors fail when the Weaviate instance has no vectorizer (e.g. text2vec-openai) configured. The fix is enabling the module or switching to a compatible one. Use when vector search fails on a …
Fixes the Weaviate MCP server failing queries with collection not found. The collection (class) name in the query does not exist on the instance. The fix is listing collections and correcting the name, respecting Weaviate's capitalization rules. Use when the server connects but a specific collection is rejected; not f…