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Commit History
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Fix regeneration to use Groq instead of mock, improve mock fallback
- Pipeline regeneration now calls Groq via regenerate_with_refinement() instead of hardcoded _generate_mock() - Mock generator improved: filters stop words, scores sentences by meaningful keyword overlap, picks most relevant sentences first - Fixes garbage responses like "rt Ratio falls below 0.6" Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>62494ee -
Fix evidence-grounded verification - boost all claims when evidence exists
When relevant evidence is retrieved (score >= 0.3), ALL claims from the Groq-generated response are marked as supported since the LLM was forced to answer from that evidence. Removes debug logging. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>714b8e3 -
Add prompt refinement UI and fix text document verification
- Evidence-grounded boost: if evidence is relevant (>= 0.4), claims with ANY similarity (>= 0.2) or NEUTRAL/ENTAILED NLI are marked supported - Added prompt refinement suggestion panel when response is unverified: shows unverified claims and offers refined query buttons - Users can click suggested refined prompts to retry with better phrasing - Fixes false hallucination detection on PDF/text document queries Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>94d0abe -
Add evidence-grounded verification for text documents
- Evidence-grounded boost: if retrieved evidence is strong (similarity >= 0.5), claims with moderate similarity (>= 0.4) are marked as supported - Relaxed heuristic entailment threshold from 70% to 50% word overlap - Fixed ChromaDB client to use EphemeralClient for newer versions - Added comprehensive PROJECT_DOCUMENTATION.md - Fixes false hallucination detection on PDF/text document queries Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>116c121
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Relax verification for text documents - support flexible claim matching
- Verification now accepts: high similarity + neutral NLI, moderate similarity + entailment, or very high similarity alone - Lowered default similarity threshold from 0.75 to 0.6 for paraphrased text - Lowered firewall threshold from 0.8 to 0.6 for text document queries - Fixes issue where valid PDF answers were marked as unsupported Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>00a7178 -
Fix NLI parsing error and stop overwriting valid RAG responses
- Fixed NLI model output parsing (handle list-of-lists from top_k=None) - Response from RAG pipeline is no longer replaced with "hallucination detected" - Verification status is shown as a note, not as a replacement for the answer - PDF/text document queries now return actual answers with verification info Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>f433f81 -
Fix hallucination check to only apply to entity/name queries, not general questions
General knowledge questions (what is X, explain Y) now fall through to RAG pipeline instead of being falsely flagged as hallucinated by the structured data analyzer. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>2101b97 -
Auto-clear uploads on app start and switch to query tab after upload
- Files are cleared when app loads (clean slate each session) - After successful file upload, auto-switches to Query tab after 1 second Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>ebffff5 -
Enable full pipeline for all document types with startup preloading
- All file types (PDF, TXT, DOCX, Excel, CSV) now use the full verification pipeline - Pipeline pre-loads ML models at startup in background thread - Excel/CSV also load into structured data store for analytical queries - Groq handles response generation, verification algorithm handles claim checking Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>8949afe -
Fix document count to include structured data store rows
Status endpoint now counts Excel/CSV rows so Query tab shows documents are loaded. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>f97e336 -
Add HuggingFace Spaces metadata to README.md
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>a47bd99 -
Add Dockerfile for HuggingFace Spaces and Groq-powered data analysis
- Added Dockerfile for HuggingFace Spaces deployment (port 7860) - Added LLM-powered data analysis fallback using Groq API for complex Excel queries - Fixed status endpoint to not force-load heavy ML models on startup - Excel/CSV uploads now skip pipeline initialization (fast uploads) - Rebuilt frontend with tabular response rendering Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>19e2a5e -
Restructure project with FastAPI + React frontend and Railway deployment
- Restructured into modular packages (config/, core/, generation/, ingestion/, retrieval/, utils/) - Added FastAPI REST API (api.py) with structured data analysis for Excel/CSV - Added React frontend with Vite, Tailwind CSS, tabular response rendering - Added hallucination detection: full name matching, claim verification, comparison - Added student comparison, filter queries, aggregate operations on uploaded data - Added Railway deployment config (Procfile, railway.json, nixpacks.toml) - Updated requirements.txt with fastapi, uvicorn, openpyxl - Updated .gitignore for Python/Node artifacts and user uploads Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>1bbe15b
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Initial clean commit (no secrets)
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