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README.md
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license: apache-2.0
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#
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Currently,
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You can try a demonstration of SearchAgent [here](https://search.sciphi.ai/).
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## Model Architecture
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Using the AgentSearch package an example is shown below.
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```
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export SCIPHI_API_KEY=MY_SCIPHI_API_KEY
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# Use
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python -m agent_search.scripts.run_rag run --query="What is Fermat's last theorem?"
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```
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license: apache-2.0
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# Sensei-7B-v0.1 Model Card
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Sensei-7B-v0.1 is a Large Language Model (LLM) fine-tuned from Mistral-7B-v0.1. This model was fine tuned with a fully synthetic dataset to specialize at performing retrieval-augmented generation (RAG) over detailed web search results. This model strives to specialize in using search, such as [AgentSearch](https://huggingface.co/datasets/SciPhi/AgentSearch-V1), to generate accurate and well-cited summaries from a range of search results, providing more accurate answers to user queries. Please refer to the [docs here](https://agent-search.readthedocs.io/en/latest/) for more information on how to run Sensei end-to-end.
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Currently, Sensei is available via hosted api at https://www.sciphi.ai. You can try a demonstration [here](https://search.sciphi.ai/).
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## Model Architecture
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Using the AgentSearch package an example is shown below.
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```
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export SCIPHI_API_KEY=MY_SCIPHI_API_KEY
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# Use `Sensei` for LLM RAG w/ AgentSearch
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python -m agent_search.scripts.run_rag run --query="What is Fermat's last theorem?"
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```
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