add timeline clustering using agentic method#5
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sayantan11995 wants to merge 2 commits intocomplementizer:masterfrom
Open
add timeline clustering using agentic method#5sayantan11995 wants to merge 2 commits intocomplementizer:masterfrom
sayantan11995 wants to merge 2 commits intocomplementizer:masterfrom
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Replace the extractive summarization and timeline construction steps of the classical 'clust' method with a multi-agent LLM pipeline orchestrated by LangGraph. The new 'agentic_clust' method keeps clustering and ranking unchanged but routes each cluster through: classify_topic -> generate_summaries -> judge_summaries -> verify_summaries -> finalize_timeline Judging criteria are topic-type-aware (disaster, organization, person, etc.) so that, e.g., a disaster timeline prioritizes impact/casualties/response while an organization timeline prioritizes decisions/leadership/milestones. https://claude.ai/code/session_01HsFAvdgJrD2KYysfxK2Vs2
Replace ChatOpenAI (gpt-4o-mini) with ChatOllama (llama3.1:8b) as the
default LLM. Key changes:
- Default LLM is now langchain_ollama.ChatOllama with model=llama3.1:8b
- Ollama's format="json" mode enabled to constrain output to valid JSON
- Added _invoke_llm_json() retry helper: smaller models occasionally
produce malformed JSON, so it retries up to 2 times with a corrective
re-prompt
- classify_topic now uses JSON output ({"category": "..."}) for
consistency with the JSON-mode constraint
- langchain-openai replaced with langchain-ollama in requirements.txt
Prerequisite: ollama pull llama3.1:8b
https://claude.ai/code/session_01HsFAvdgJrD2KYysfxK2Vs2
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