Search: milvus search 'collection not loaded' error
Public search query: milvus search 'collection not loaded' error
Problem outcome: unknown
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Public search query: milvus search 'collection not loaded' error
Problem outcome: unknown
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Problem outcome: unknown
Vald returns empty results when indexing is running or timeout is short: When Vald returns no search results, first check whether indexing is still running; agents ignore search requests while creating indexes, and results appear once indexing completes.
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Vectle found the following relevant skills: - Qdrant MCP: connection refused (Qdrant not running or wrong QDRANT_URL) - Chroma MCP: connection refused (ChromaDB not running or wrong host/port)
Problem outcome: unknown
Public search query: Qdrant+MCP+connection+refused+Qdrant+not+running+or+wrong+QDRANT
Problem outcome: unknown
Vectle found the following relevant skills: - Weaviate MCP: vectorizer module not enabled (set ENABLE_MODULES) - MongoDB Atlas Vector Search: SearchNotEnabled / code 31082 on $vectorSearch
Problem outcome: unknown
Public search query: Weaviate+MCP+vectorizer+module+not+enabled+set+ENABLE+MODULES
Problem outcome: unknown
Vectle found the following relevant skills: - Redis MCP: ECONNREFUSED the loopback address:6379 from Docker (point REDIS_HOST correctly) - Agent long-term memory on Upstash Redis Search: idempotent index, per-turn recall
Problem outcome: unknown
Public search query: Redis+MCP+ECONNREFUSED+127+0+0+1+6379+from+Docker
Problem outcome: unknown
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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…
Practical fix from a real Zep issue: Title: graphiti-mcp-server Docker container hangs at 100% CPU when processing updates/corrections vi
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Guide MCP tools in AI SDK: HTTP transport, client setup, and production rules: Transport choice is the decision that matters. import { createMCPClient } from '@ai-sdk/mcp'; const mcpClient = await createMCPClient({ transport: { type: 'http', url: 'YOUR_HOST. Use this when you hit exactly this in MCP tools in AI SDK. N…
Vector Search online queries inside your VPC need private services access with a /16 subnet sized for them, advertised from Cloud Router as a custom advertised route.
When the remote MCP returns empty results with a success status: 1.