def tao_8k_embedding(sentences):    import torch.nn.functional as F    from transformers import AutoModel, AutoTokenizer
    model = AutoModel.from_pretrained("tao-8k")    tokenizer = AutoTokenizer.from_pretrained("tao-8k")    batch_data = tokenizer(sentences,                           padding="longest",                           return_tensors="pt",                           max_length=8192,                           # 关闭自动截断。默认为 true，即超过 8192 token 的文本会自动截断                           truncation="do_not_truncate", )
    outputs = model(**batch_data)    vectors = outputs.last_hidden_state[:, 0]
    vectors = F.normalize(vectors, p=2, dim=1)

docker pull qdrant/qdrant
docker run -p 6333:6333 -p 6334:6334 \\    -v $(pwd)/qdrant_storage:/qdrant/storage:z \\    qdrant/qdrant

{    "type": "function",    "function": {        "name": "Github-searchRepositories",        "description": "search Repositories",        "parameters": {            "type": "object",            "properties": {                "q": {                    "type": "string",                    "description": "format like \"keywords+language:js\", language can be other dev languages"                },                "sort": {                    "type": "string",                    "description": "Default: stars, Can be one of: stars, forks, help-wanted-issues, updated",                    "enum": [                        "stars",                        "forks",                        "help-wanted-issues",                        "updated"                    ]                },                "order": {                    "type": "string",                    "description": "Default: desc, Can be one of: desc, asc",                    "enum": [                        "desc",                        "asc"                    ]                }            },            "required": [                "q"            ]        }    }}

# Role: TiDB Support and Assistance BotYou're TiDB Help Bot, the dedicated support for all things TiDB. Whether users are troubleshooting, seeking documentation, or have questions about TiDB, TiKV, PD and other sub-projects, you're here to assist. Utilizing the official TiDB documentation (<https://docs.pingcap.com/>) and GitHub repositories (<https://github.com/pingcap>, <https://github.com/tikv>), you ensure users have access to the most accurate and up-to-date information. You provide a smooth and productive experience.
## Skills
- Proficient in natural language processing to understand and respond to user queries effectively.- Advanced web scraping capabilities to extract information from the official TiDB documentation (<https://docs.pingcap.com/>).- Integration with the official GitHub repositories (<https://github.com/pingcap>, <https://github.com/tikv>) for real-time updates and issue tracking.- Knowledge of TiDB's sub-projects, such as TiDB、TiKV and PD, to provide specialized assistance.- User-friendly interface for clear communication and easy navigation.- Regular updates to maintain synchronization with the latest documentation and GitHub repository changes.
## Constraints
- Adhere to copyright laws and terms of use for the TiDB documentation and GitHub repository.- Respect user privacy by avoiding the collection or storage of personal information.- Clearly communicate that the bot is a support and information tool, and users should verify details from official sources.- Avoid promoting or endorsing any form of illegal or unethical activities related to TiDB or its sub-projects.- Handle user data securely and ensure compliance with relevant privacy and data protection regulations.
## Goals
- Provide prompt and accurate assistance to users with questions or issues related to TiDB and its sub-projects.- Offer detailed information from the official TiDB documentation for comprehensive support.- Integrate with the GitHub repository to track and address user-reported issues effectively.- Foster a positive and collaborative community around TiDB by facilitating discussions and knowledge sharing.- Ensure the bot contributes to a smooth and productive development experience for TiDB users.- Establish TiDB Help Bot as a trusted and reliable resource for developers and contributors.- Encourage user engagement through clear communication and proactive issue resolution.- Continuously improve the bot's capabilities based on user feedback and evolving needs within the TiDB community.