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Web Interface With Fastapi for RAG PipeLine
1 parent 113abf5 commit e4ed706

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Lines changed: 982 additions & 3 deletions

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‎app.py‎

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from fastapi import FastAPI, Request, Form
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from fastapi.responses import HTMLResponse
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from fastapi.staticfiles import StaticFiles
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from fastapi.templating import Jinja2Templates
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from project.pipeline.agents import AgentWorkflow
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from project.logger.logging import get_logger
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import uvicorn
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logger = get_logger(__name__)
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app = FastAPI(title="Learn with Transformers")
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app.mount("/static", StaticFiles(directory="static"), name="static")
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templates = Jinja2Templates(directory="templates")
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agent = None
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@app.on_event("startup")
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async def startup_event():
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global agent
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logger.info("Initializing RAG pipeline...")
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agent = AgentWorkflow()
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agent.setup(use_attention_paper=True)
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logger.info("RAG pipeline ready")
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@app.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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return templates.TemplateResponse("index.html", {"request": request})
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@app.post("/search", response_class=HTMLResponse)
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async def search(request: Request, query: str = Form(...)):
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if not query.strip():
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return templates.TemplateResponse(
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"index.html",
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{"request": request, "error": "Please enter a question"}
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)
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try:
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answer = agent.run(query)
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return templates.TemplateResponse(
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"index.html",
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{"request": request, "query": query, "answer": answer}
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)
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except Exception as e:
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logger.error(f"Search failed: {str(e)}")
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return templates.TemplateResponse(
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"index.html",
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{"request": request, "error": f"Error: {str(e)}"}
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)
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=8000)

‎logs/2025_12_01.log‎

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[2025-12-01 10:08:22] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:08:22] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 10:08:22] INFO - __main__ - RAG application completed successfully
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[2025-12-01 10:54:24] INFO - httpx - HTTP Request: GET https://api.gradio.app/pkg-version "HTTP/1.1 200 OK"
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[2025-12-01 10:55:00] INFO - httpx - HTTP Request: GET https://api.gradio.app/pkg-version "HTTP/1.1 200 OK"
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[2025-12-01 10:57:15] INFO - __main__ - Initializing RAG pipeline...
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[2025-12-01 10:57:15] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 10:57:15] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 10:57:16] INFO - project.source.data_preparation - DataPreparation initialized with chunk_size=1000
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 10:57:16] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 10:57:20] INFO - project.utils.model_loader - Loaded FastEmbed: BAAI/bge-small-en-v1.5
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[2025-12-01 10:57:20] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 10:57:20] INFO - project.model.retriever - DocumentRetriever initialized
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[2025-12-01 10:57:21] INFO - project.model.reranking - FlashRank reranker initialized with model: rank-T5-flan
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[2025-12-01 10:57:21] INFO - project.pipeline.rag - RAGPipeline initialized
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[2025-12-01 10:57:21] INFO - project.pipeline.agents - Web search tool initialized
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[2025-12-01 10:57:21] INFO - project.pipeline.agents - AgentWorkflow initialized
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[2025-12-01 10:57:21] INFO - project.source.data_preparation - Loading PDF from local file: data\attention-is-all-you-need.pdf
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[2025-12-01 10:57:22] INFO - project.source.data_preparation - Loaded 11 pages from PDF
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[2025-12-01 10:57:22] INFO - project.source.data_preparation - Split documents into 43 chunks
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[2025-12-01 10:57:22] INFO - project.source.data_preparation - Document preparation complete: 43 chunks ready
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[2025-12-01 10:57:28] INFO - faiss.loader - Loading faiss with AVX512 support.
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[2025-12-01 10:57:28] INFO - faiss.loader - Could not load library with AVX512 support due to:
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ModuleNotFoundError("No module named 'faiss.swigfaiss_avx512'")
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[2025-12-01 10:57:28] INFO - faiss.loader - Loading faiss with AVX2 support.
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[2025-12-01 10:57:29] INFO - faiss.loader - Successfully loaded faiss with AVX2 support.
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[2025-12-01 10:57:29] INFO - project.model.retriever - Vector store created with 43 documents
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[2025-12-01 10:57:29] INFO - project.model.retriever - Base retriever configured with mmr search
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[2025-12-01 10:57:29] INFO - project.pipeline.rag - RAG chain built successfully
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[2025-12-01 10:57:29] INFO - project.pipeline.rag - RAG pipeline setup complete
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[2025-12-01 10:57:29] INFO - project.pipeline.agents - LangGraph workflow compiled
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[2025-12-01 10:57:29] INFO - project.pipeline.agents - Agent workflow setup complete
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[2025-12-01 10:57:29] INFO - __main__ - RAG pipeline ready
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[2025-12-01 10:58:10] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 10:58:10] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 10:58:10] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 10:58:11] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:11] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:11] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 10:58:11] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 10:58:12] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 10:58:15] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:15] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 10:58:15] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 10:58:15] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 10:58:15] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 10:58:16] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:16] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:16] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 10:58:16] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 10:58:17] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 10:58:20] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 10:58:20] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 11:00:20] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 11:00:20] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 11:00:20] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 11:00:21] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:00:21] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:00:21] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 11:00:21] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 11:00:22] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 11:00:25] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:00:25] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 11:02:23] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 11:02:24] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 11:02:24] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 11:02:24] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:24] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:24] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:24] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:25] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:25] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:25] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 11:02:25] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 11:02:25] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 11:02:25] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 11:02:26] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 11:02:28] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:28] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 11:02:40] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 11:02:40] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 11:02:40] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 11:02:40] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:40] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:40] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:40] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:41] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:41] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:02:41] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 11:02:41] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 11:02:41] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 11:02:41] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 11:02:42] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 11:02:44] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:02:44] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 11:06:50] INFO - __main__ - Initializing RAG pipeline...
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[2025-12-01 11:06:50] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 11:06:50] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 11:06:51] INFO - project.source.data_preparation - DataPreparation initialized with chunk_size=1000
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - GROQ API key loaded
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[2025-12-01 11:06:51] INFO - project.utils.model_loader - ModelLoader initialized
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[2025-12-01 11:06:56] INFO - project.utils.model_loader - Loaded FastEmbed: BAAI/bge-small-en-v1.5
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[2025-12-01 11:06:57] INFO - project.utils.model_loader - Loaded Groq LLM: openai/gpt-oss-120b
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[2025-12-01 11:06:57] INFO - project.model.retriever - DocumentRetriever initialized
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[2025-12-01 11:06:57] INFO - project.model.reranking - FlashRank reranker initialized with model: rank-T5-flan
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[2025-12-01 11:06:57] INFO - project.pipeline.rag - RAGPipeline initialized
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[2025-12-01 11:06:57] INFO - project.pipeline.agents - Web search tool initialized
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[2025-12-01 11:06:57] INFO - project.pipeline.agents - AgentWorkflow initialized
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[2025-12-01 11:06:57] INFO - project.source.data_preparation - Loading PDF from local file: data\attention-is-all-you-need.pdf
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[2025-12-01 11:06:58] INFO - project.source.data_preparation - Loaded 11 pages from PDF
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[2025-12-01 11:06:58] INFO - project.source.data_preparation - Split documents into 43 chunks
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[2025-12-01 11:06:58] INFO - project.source.data_preparation - Document preparation complete: 43 chunks ready
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[2025-12-01 11:07:09] INFO - faiss.loader - Loading faiss with AVX512 support.
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[2025-12-01 11:07:09] INFO - faiss.loader - Could not load library with AVX512 support due to:
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ModuleNotFoundError("No module named 'faiss.swigfaiss_avx512'")
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[2025-12-01 11:07:09] INFO - faiss.loader - Loading faiss with AVX2 support.
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[2025-12-01 11:07:09] INFO - faiss.loader - Successfully loaded faiss with AVX2 support.
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[2025-12-01 11:07:09] INFO - project.model.retriever - Vector store created with 43 documents
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[2025-12-01 11:07:09] INFO - project.model.retriever - Base retriever configured with mmr search
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[2025-12-01 11:07:09] INFO - project.pipeline.rag - RAG chain built successfully
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[2025-12-01 11:07:09] INFO - project.pipeline.rag - RAG pipeline setup complete
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[2025-12-01 11:07:09] INFO - project.pipeline.agents - LangGraph workflow compiled
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[2025-12-01 11:07:09] INFO - project.pipeline.agents - Agent workflow setup complete
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[2025-12-01 11:07:09] INFO - __main__ - RAG pipeline ready
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[2025-12-01 11:07:14] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 11:07:14] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 11:07:14] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 11:07:15] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:07:15] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:07:15] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:07:15] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:07:16] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:07:16] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:07:16] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 11:07:16] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 11:07:16] INFO - project.pipeline.agents - Node 'grade_documents' completed
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[2025-12-01 11:07:16] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 11:07:17] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 11:07:19] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:07:19] INFO - project.pipeline.agents - Node 'generate' completed
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[2025-12-01 11:10:07] INFO - project.pipeline.agents - ---RETRIEVE---
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[2025-12-01 11:10:07] INFO - project.pipeline.agents - Node 'retrieve' completed
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[2025-12-01 11:10:07] INFO - project.pipeline.agents - ---CHECK DOCUMENT RELEVANCE TO QUESTION---
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[2025-12-01 11:10:07] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:10:07] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:10:08] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:10:08] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:10:08] INFO - project.pipeline.agents - ---GRADE: DOCUMENT RELEVANT---
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[2025-12-01 11:10:08] INFO - project.pipeline.agents - ---ASSESS GRADED DOCUMENTS---
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[2025-12-01 11:10:08] INFO - project.pipeline.agents - ---DECISION: RELEVANT DOCUMENTS FOUND, GENERATE---
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[2025-12-01 11:10:08] INFO - project.pipeline.agents - ---GENERATE---
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[2025-12-01 11:10:09] INFO - project.model.reranking - Reranked 3 documents, returning top 3
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[2025-12-01 11:10:11] INFO - httpx - HTTP Request: POST https://api.groq.com/openai/v1/chat/completions "HTTP/1.1 200 OK"
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[2025-12-01 11:10:11] INFO - project.pipeline.agents - Node 'generate' completed

‎pyproject.toml‎

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@@ -9,9 +9,12 @@ dependencies = [
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"chromadb>=1.3.5",
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"faiss-cpu>=1.13.0",
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"fastembed>=0.7.3",
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"fastapi>=0.115.0",
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"flashrank>=0.2.10",
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"google-generativeai>=0.8.3",
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"gradio>=6.0.1",
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"ipykernel>=7.1.0",
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"jinja2>=3.1.0",
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"langchain>=0.3.0",
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"langchain-chroma>=0.1.0",
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"langchain-community>=0.3.0",
@@ -22,7 +25,9 @@ dependencies = [
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"pillow>=11.3.0",
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"pypdf>=6.4.0",
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"python-dotenv>=1.2.1",
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"python-multipart>=0.0.20",
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"rapidocr-onnxruntime>=1.4.4",
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"structlog>=25.5.0",
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"tiktoken>=0.12.0",
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"uvicorn>=0.34.0",
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]

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