Unverified50% confidenceFactExact time
The project's tech stack uses Python, Qdrant as the vector database, rank_bm25 (BM25Okapi) for sparse retrieval, EURI LLM Gateway for chat and embedding models, and pdfplumber for page-level text extraction from PDFs.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/5/2026
First Seen
Valid until: 1/3/2027
Sources
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