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Week 6 submission for the 10 Academy Intelligent Complaint Analysis Challenge. Builds a modular RAG pipeline to turn unstructured customer complaints into actionable insights for financial services, using EDA, text chunking, FAISS-based semantic search, LLM summarization, and a Streamlit chatbot.
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11
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docs: comprehensive README update reflecting Task 3 & 4 progress and project refinements
a85a370View on GitHub🚀 Update README with Comprehensive Task 3 & 4 Progress, Tech Decisions, and Project Structure
a2a42bbView on GitHubdocs: update README with full Task 3 & 4 progress, tech decisions, and project structure
ad09e62View on GitHubfeat: Finalize scalable ChromaDB vector store with embedding fallback and repository cleanup
e3dce33View on GitHubfeat: Implement scalable ChromaDB vector store builder and stop tracking vector_store
096010bView on GitHubfeat: complete Task 2 - chunking, embedding, and ChromaDB vector store + update README
37dd8cfView on GitHub✅ Merge: Finalize Task 1 — Complaint Data Loader & EDA (B5W6)
2c3e07bView on GitHubfeat: Modular EDA visualizer + scalable complaint loader with diagnostics for B5W6 Task 1
51efab5View on GitHub