The basic version may not perform well. You can enable these features to enhance performance. The more features you turn on, the better.
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Repo search enhancement
This feature is suitable for handling difficult questions and requires basic development capabilities to adjust the prompt.
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Click sourcegraph-account-access to get token
# open https://github.com/sourcegraph/src-cli#installation sudo curl -L https://sourcegraph.com/.api/src-cli/src_linux_amd64 -o /usr/local/bin/src && chmod +x /usr/local/bin/src # Enable search and fill the token [worker] enable_sg_search = 1 .. [sg_search] .. src_access_token = "${YOUR_ACCESS_TOKEN}"
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Edit the name and introduction of the repo, we take opencompass as an example
# config.ini # add your repo here, we just take opencompass and lmdeploy as example [sg_search.opencompass] github_repo_id = "open-compass/opencompass" introduction = "Used for evaluating large language models (LLM) .."
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Use
python3 -m huixiangdou.service.sg_searchfor unit test, the returned content should include opencompass source code and documentationpython3 -m huixiangdou.service.sg_search .. "filepath": "opencompass/datasets/longbench/longbench_trivia_qa.py", "content": "from datasets import Dataset..
Run
main.py, HuixiangDou will enable search enhancement when appropriate. -
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Tune Parameters
It is often unavoidable to adjust parameters with respect to business scenarios.
- Refer to data.json to add real data, run test_intention_prompt.py to get suitable prompts and thresholds, and update them into prompt.py.
- Adjust the number of search results based on the maximum length supported by the model.
- Update
web_search.domain_partial_orderinconfig.iniaccording to your scenarios.