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🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All.
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Latest capture 2026-07-04 03:04
4 captures since 2026-05-27
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Scanned 2026-07-04 03:04
python/setup.py
python ecosystem,
1 dependency
ragstack-ui/package.json
javascript ecosystem,
31 dependencies
server/pyproject.toml
python ecosystem,
17 dependencies
ragstack-ui/package-lock.json
javascript ecosystem,
0 dependencies
server/package-lock.json
javascript ecosystem,
0 dependencies
server/poetry.lock
python ecosystem,
150 dependencies
containerize-llms/falcon7b/falcon7b/requirements.txt
python ecosystem,
7 dependencies
containerize-llms/llama2-7b/llama2-7b/requirements.txt
python ecosystem,
8 dependencies
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Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
A comprehensive guide to building RAG-based LLM applications for production.
