Display context chunks in ask and search results (#149)
* Printing querying time * Adding source name to chunks Adding source name as metadata to chunks, then printing the sources when searching * Printing the context provided to LLM To check the data transmitted to the LLMs : display the relevance, ID, content, and source of each sent chunk. * Correcting source as metadata for chunks * Applying ruff format * Applying Ruff formatting * Ruff formatting
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@@ -1236,6 +1236,17 @@ class LeannChat:
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"Please provide the best answer you can based on this context and your knowledge."
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)
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print("The context provided to the LLM is:")
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print(f"{'Relevance':<10} | {'Chunk id':<10} | {'Content':<60} | {'Source':<80}")
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print("-" * 150)
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for r in results:
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chunk_relevance = f"{r.score:.3f}"
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chunk_id = r.id
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chunk_content = r.text[:60]
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chunk_source = r.metadata.get("source", "")[:80]
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print(
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f"{chunk_relevance:<10} | {chunk_id:<10} | {chunk_content:<60} | {chunk_source:<80}"
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)
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ask_time = time.time()
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ans = self.llm.ask(prompt, **llm_kwargs)
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ask_time = time.time() - ask_time
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