mirror of
https://github.com/langbot-app/LangBot.git
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huanghuoguoguo
63 lines
2.2 KiB
YAML
63 lines
2.2 KiB
YAML
id: langrag-kb-retrieve
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title: "LangRAG knowledge base ingests and retrieves a sentinel document"
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mode: agent-browser
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area: knowledge
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type: feature
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priority: p1
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risk: medium
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ci_eligible: false
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tags:
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- langrag
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- knowledge
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- rag
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skills:
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- langbot-env-setup
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- langbot-testing
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env:
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- LANGBOT_FRONTEND_URL
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- LANGBOT_BACKEND_URL
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automation: scripts/e2e/langrag-kb-retrieve.mjs
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automation_env:
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- LANGBOT_FRONTEND_URL
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- LANGBOT_BACKEND_URL
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- LANGBOT_BROWSER_PROFILE
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- LANGBOT_CHROMIUM_EXECUTABLE
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automation_env_any:
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- LANGBOT_LOCAL_AGENT_RAG_KB_UUID|LANGBOT_RAG_KB_UUID
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automation_expected_text: "azalea-cobalt-7421"
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setup_automation:
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- "node:scripts/e2e/ensure-langrag-sentinel-kb.mjs --write-env"
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setup_provides_env:
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- LANGBOT_LOCAL_AGENT_RAG_KB_UUID
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preconditions:
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- "LangRAG is installed and initialized in the active LangBot instance."
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- "A working embedding model is available, preferably chroma-all-MiniLM-L6-v2 for local repeatability."
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- "LANGBOT_LOCAL_AGENT_RAG_KB_UUID points to a LangRAG knowledge base containing azalea-cobalt-7421."
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steps:
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- "Open LANGBOT_FRONTEND_URL."
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- "Navigate to Knowledge."
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- "Create a knowledge base with engine LangRAG."
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- "Select a working embedding model, preferably local Chroma embedding model chroma-all-MiniLM-L6-v2."
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- "Upload skills/langbot-testing/fixtures/rag/sentinel-doc.txt."
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- "Wait until the document row status is Completed."
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- "Open Retrieve Test and query: What is the local agent runner retrieval sentinel?"
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checks:
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- "UI: The knowledge base appears in the Knowledge sidebar."
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- "UI: The uploaded document status becomes Completed."
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- "UI: Retrieve Test shows the uploaded document content."
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- "UI: Retrieve Test result contains azalea-cobalt-7421."
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- "Console: No unexpected frontend errors appear during creation, upload, or retrieve."
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evidence_required:
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- ui
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- screenshot
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- console
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- network
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- api_diagnostic
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diagnostics:
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- "If no LangRAG engine is available, check /api/v1/knowledge/engines and install langbot-team/LangRAG."
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- "If the embedding selector does not show a local Chroma model, confirm the model exists under embedding_models, not llm_models."
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troubleshooting:
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- marketplace-network-flaky
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- dynamic-form-missing-config-id
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- pipeline-form-controlled-warning
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