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Thejesh
a855f2cae2
- corrective_rag: route .pdf URLs to PyPDFLoader (WebBaseLoader was running an HTML parser over the default arXiv PDF and embedding decoded garbage); and only ingest when the source changes — Streamlit re-runs the script on every question, so it was deleting the collection and re-embedding the whole document each time. - agentic_rag_math_agent: KB gate was 'similarity > 0.', which passes for almost any query (cosine sim of OpenAI embeddings is ~always >0), so an arbitrary KB answer was served as authoritative with 'do not recalculate'. Require >= 0.80. - knowledge_graph_rag_citations: semantic_search did Neo4j CONTAINS on the whole question, which never matches an entity; tokenize and match any term case-insensitively. - ai_blog_search: create the Qdrant collection before constructing QdrantVectorStore (which validates and 404s on a fresh instance). All four compile-check clean. Co-authored-by: thejesh23 <thejesh23@users.noreply.github.com>