vikramkoka opened a new pull request, #67727:
URL: https://github.com/apache/airflow/pull/67727
Two production-shaped DAGs demonstrating a multi-company financial research
pipeline using real SEC 10-K filings from the EDGAR API:
- example_langchain_10k_index: fetches filings by ticker and builds
per-company FAISS vector indexes via Dynamic Task Mapping
- example_langchain_10k_analysis: LLM-driven sub-question decomposition with
fan-out retrieval, structured synthesis (UsageLimits + AnalysisReport), and
HITL approval
LangChain counterpart to example_llamaindex_10k.py -- same DAG shape,
same EDGAR data source, different framework underneath (LangChainHook,
RecursiveCharacterTextSplitter, FAISS).
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