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https://github.com/arc53/DocsGPT.git
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fix: chunking
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@@ -264,7 +264,15 @@ class BaseAgent(ABC):
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query: str,
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retrieved_data: List[Dict],
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) -> List[Dict]:
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docs_together = "\n".join([doc["text"] for doc in retrieved_data])
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docs_with_filenames = []
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for doc in retrieved_data:
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filename = doc.get("filename") or doc.get("title") or doc.get("source")
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if filename:
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chunk_header = str(filename)
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docs_with_filenames.append(f"{chunk_header}\n{doc['text']}")
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else:
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docs_with_filenames.append(doc["text"])
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docs_together = "\n\n".join(docs_with_filenames)
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p_chat_combine = system_prompt.replace("{summaries}", docs_together)
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messages_combine = [{"role": "system", "content": p_chat_combine}]
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@@ -1,4 +1,5 @@
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import logging
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import os
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from application.core.settings import settings
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from application.llm.llm_creator import LLMCreator
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@@ -141,15 +142,28 @@ class ClassicRAG(BaseRetriever):
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title = metadata.get(
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"title", metadata.get("post_title", page_content)
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)
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if isinstance(title, str):
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title = title.split("/")[-1]
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if not isinstance(title, str):
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title = str(title)
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title = title.split("/")[-1]
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filename = (
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metadata.get("filename")
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or metadata.get("file_name")
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or metadata.get("source")
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)
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if isinstance(filename, str):
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filename = os.path.basename(filename) or filename
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else:
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title = str(title).split("/")[-1]
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filename = title
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if not filename:
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filename = title
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source_path = metadata.get("source") or vectorstore_id
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all_docs.append(
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{
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"title": title,
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"text": page_content,
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"source": metadata.get("source") or vectorstore_id,
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"source": source_path,
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"filename": filename,
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}
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)
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except Exception as e:
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