towhee
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eqa-search
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Kaiyuan Hu
2 years ago
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# eqa-search |
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# Enhanced QA Search |
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## Description |
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**Enhanced question-answering** is the process of creating the knowledge base and generating answers with LLMs(large language model), thus preventing illusions. It involves inserting data as knowledge base and querying questions, and **eqa-search** is used to query questions from knowledge base. |
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<br /> |
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## Code Example |
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### **Create pipeline and set the configuration** |
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> More parameters refer to the Configuration. |
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```python |
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from towhee import AutoPipes, AutoConfig |
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config = AutoConfig.load_config('eqa-search') |
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config.collection_name = 'chatbot' |
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p = AutoPipes.pipeline('eqa-search', config=config) |
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res = p('https://raw.githubusercontent.com/towhee-io/towhee/main/README.md') |
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``` |
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<br /> |
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## Enhanced QA Search Config |
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### Configuration for Sentence Embedding |
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***model (str):*** |
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The model name in the sentence embedding pipeline, defaults to `'all-MiniLM-L6-v2'`. |
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You can refer to the above [Model(s) list ](https://towhee.io/tasks/detail/operator?field_name=Natural-Language-Processing&task_name=Sentence-Embedding)to set the model, some of these models are from [HuggingFace](https://huggingface.co/) (open source), and some are from [OpenAI](https://openai.com/) (not open, required API key). |
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***openai_api_key (str):*** |
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The api key of openai, default to `None`. |
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This key is required if the model is from OpenAI, you can check the model provider in the above [Model(s) list](https://towhee.io/sentence-embedding/openai). |
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***embedding_device (int):*** |
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The number of devices, defaults to `-1`, which means using the CPU. |
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If the setting is not `-1`, the specified GPU device will be used. |
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### Configuration for [Milvus](https://towhee.io/ann-search/milvus-client) |
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***host (str):*** |
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Host of Milvus vector database, default is `'127.0.0.1'`. |
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***port (str):*** |
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Port of Milvus vector database, default is `'19530'`. |
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***top_k (int):*** |
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The number of nearest search results, defaults to 5. |
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***collection_name (str):*** |
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The collection name for Milvus vector database. |
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***user (str):*** |
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The user name for [Cloud user](https://zilliz.com/cloud), defaults to `None`. |
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***password (str):*** |
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The user password for [Cloud user](https://zilliz.com/cloud), defaults to `None`. |
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<br /> |
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## Interface |
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Query a question from Milvus knowledge base. |
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**Parameters:** |
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- ***question (str):*** The question to query. |
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- ***history (List[str]):*** The chat history to provide background information. |
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**Returns:** |
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- ***Answer (str):*** The answer to the question. |
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