redis-developer/LLM-Document-Chat
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
Leverages Redis vector similarity search to store and retrieve document embeddings, enabling semantic search across PDF content without re-processing. LlamaIndex orchestrates document chunking and context retrieval while OpenAI generates chat responses, with support for both Azure OpenAI and direct OpenAI APIs. Runs in a containerized Jupyter environment with flexible Redis deployment options (Enterprise Cloud, Azure Cache, or local Docker Stack).
114 stars. No commits in the last 6 months.
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114
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23
Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 09, 2023
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