vikramkoka opened a new pull request, #67671:
URL: https://github.com/apache/airflow/pull/67671

    Two Dags demonstrating a multi-company financial research pipeline using 
real SEC 10-K filings fetched live from the EDGAR public API:
   
     - Indexing DAG (weekly): fetches 10-K filings by stock ticker, extracts 
Risk Factors and MD&A sections, builds per-company vector indexes via 
LlamaIndexEmbeddingOperator with DTM fan-out.
     - Analysis DAG (on-demand): analyst submits tickers and a comparison 
question via HITLEntryOperator, LLM decomposes into company-specific 
sub-questions (N decided at runtime), retrieves from per-company indexes via 
DTM, synthesizes a structured report (AnalysisReport Pydantic model with 
UsageLimits), formats for human review, and gates on ApprovalOperator.
   
   Features showcased: Dynamic Task Mapping, structured LLM output, 
UsageLimits, HITL input and approval, and live external API integration.
   
   Default tickers: AAPL, MSFT, UBER, LYFT, AMZN.
   
    <!-- SPDX-License-Identifier: Apache-2.0
         https://www.apache.org/licenses/LICENSE-2.0 -->
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   - [ x] Yes (please specify the tool below)
   
   Generated-by: [Claude] following [the 
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
   
   ---
   


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