[Vishnu-2345]

Closes #1

📋 Summary of Changes

• Expanded pyproject.toml: Added high-intent search keywords (local-rag, offline-rag, private-ai, sqlite-vec, document-search, codebase-rag, local-embeddings, privacy-first) and PyPI classifiers (Topic :: Text Processing :: Indexing, Intended Audience :: Information Technology).
• Updated README.md: Added PyPI version badge and documented the comparison matrix between 100% offline local RAG vs. cloud embeddings APIs (highlighting zero data leakage, <5ms latency, and air-gapped portability).

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📦 Subsystems Affected

• localrag.indexer (Document harvesting, boundary chunking)
• localrag.storage (SQLite schemas, FTS5 BM25, vector BLOBs)
• localrag.retrieval (Dense cosine similarity, Reciprocal Rank Fusion)
• localrag.providers (Ollama, OpenAI, feature hasher embeddings)
• localrag.server / Web UI (FastAPI, SSE streaming, citation drawer)
• localrag.cli (Rich terminal interface, query commands)
• Documentation / Tests

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🏷️ Type of Change

• 🐛 Bug Fix (non-breaking fix)
• ✨ New Feature / SEO Optimization
• ⚡ Performance Improvement
• 🔒 Security / Privacy Hardening
• 🧪 Tests Added / Updated
• 📚 Documentation Update

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✅ Verification & Air-Gapped Checklist

• Tests Passing: Ran pytest tests/ locally and all 31 tests passed.
• Zero Telemetry: Confirmed that no external tracking or outbound cloud requests are introduced.
• Code Formatting: Passes formatting with ruff check . and ruff format --check ..
• Documentation: Updated README comparison table and package metadata.

[Vishnu-2345]

"Hi @divyanshujethi, I have updated the branch with the README.md offline vs. cloud comparison and PyPI badge as requested in #1. All 31 tests and ruff linting are passing. Ready for workflow approval and review! Thank you."