Sid13SST/Lexora_AI
Lexora AI transforms PDFs and documents into an intelligent AI knowledge workspace with grounded, citation-based conversations.
SUMMARY AI summary by gpt-5-mini
Lexora AI is an enterprise RAG platform that converts PDFs and documents into an indexed, queryable knowledge base. It lets teams upload materials, vectorize content, and engage in grounded, citation-aware conversational queries. Who uses it: developers, data and ML teams, support and knowledge-management teams, or any organization needing accurate, source-attributed answers from private documents. Key features: page-level PDF extraction and recursive chunking; embeddings via Google Gemini/text-embedding-004 stored in Qdrant; similarity search retrieval; grounded generation with GPT-4o-mini; per-answer page citations to minimize hallucination; full CRUD for document management; built with Next.js, TypeScript, Tailwind, Prisma; runs with Docker for Qdrant and PostgreSQL.
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Owner
Full Stack Developer specializing in AI-integrated applications, backend systems, and scalable product development.
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:15 |
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