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[PR #4647] [new: Example] Fast RAG using Binary Quantisation and SambaNova Inference #3978

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opened 2026-02-20 17:49:28 -05:00 by yindo · 0 comments
yindo commented 2026-02-20 17:49:28 -05:00
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Original Pull Request: https://github.com/langchain-ai/langgraph/pull/4647

State: closed
Merged: No

tl;dr- Multi-document Fast RAG pipeline using Qdrant Binary Quantization and SambaNova Systems 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
  • SambaNova: Faster LLM Inference using DeepSeek R1
**Original Pull Request:** https://github.com/langchain-ai/langgraph/pull/4647 **State:** closed **Merged:** No --- tl;dr- Multi-document Fast RAG pipeline using Qdrant Binary Quantization and SambaNova Systems 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 - SambaNova: Faster LLM Inference using DeepSeek R1
yindo added the pull-request label 2026-02-20 17:49:28 -05:00
yindo closed this issue 2026-02-20 17:49:28 -05:00
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Reference: langchain-ai/langgraph#3978
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