[example] Fast Multi-document rag using Qdrant Binary Quantization and Gemini 2.5 flash

[lucifertrj]

tl;dr- Multi-document Fast RAG pipeline using Qdrant Binary Quantization and Gemini 2.5 Flash via LangGraph

• LangGraph: For building the Retrieval Augmented Generation pipeline
• FastEmbed: For the lightweight embeddings conversation
• Qdrant: Index the document into the Vector database and use it as a retriever
• Gemini: Gemini 2.5 Flash for the LLM inference

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[lucifertrj]

@MarkDaoust @Giom-V

[lucifertrj]

@PaulTR any update on this?