Update agent.py
Browse files
agent.py
CHANGED
@@ -319,14 +319,15 @@ forced_rag_pipeline = create_forced_rag_pipeline()
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# Remplacer les tools individuels par le pipeline
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information_retrieval_tool = FunctionTool.from_defaults(
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fn=lambda input_path: forced_rag_pipeline.run(input_path),
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name="
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description=(
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"This tool is the PRIMARY and MOST EFFECTIVE method for extracting and retrieving information from URLs or documents. "
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"
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"Then, it creates a powerful Retrieval Augmented Generation (RAG) query engine optimized for semantic search and precise information retrieval. "
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"
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"This tool is specifically designed to
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"
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# Remplacer les tools individuels par le pipeline
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information_retrieval_tool = FunctionTool.from_defaults(
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fn=lambda input_path: forced_rag_pipeline.run(input_path),
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name="information_retrieval_tool",
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description=(
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"This tool is the PRIMARY and MOST EFFECTIVE method for answering user queries by extracting and retrieving information from URLs or documents. "
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"When given a document or URL, it AUTOMATICALLY processes the content and DIRECTLY ANSWERS your specific question or information need. "
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"The tool first uses read_and_parse to fully extract and parse content from web pages, PDFs, or document files. "
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"Then, it creates a powerful Retrieval Augmented Generation (RAG) query engine optimized for semantic search and precise information retrieval. "
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"Most importantly, it IMMEDIATELY applies this RAG engine to provide direct, accurate answers to your query, eliminating the need for manual searching. "
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"This tool is specifically designed to transform user questions into precise answers by leveraging advanced document understanding and query processing capabilities. "
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"Instead of manual page access or ad-hoc parsing, use this tool to get immediate, reliable answers to your information retrieval needs."
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