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-# eqa-insert
+# Enhanced QA Insert
 
+## Description
+
+**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-insert** is used to insert document data for knowledge base.
+
+<br />
+
+
+
+## Code Example
+
+- Create Milvus Collection
+
+Before running the pipeline, please create Milvus collection first.
+
+> The `dim` is the dimensionality of the feature vector generated by the configured `model` in the `eqa-insert` pipeline.
+
+```python
+from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility
+
+collection_name = 'chatbot'
+dim = 384
+
+connections.connect(host='172.16.70.4', port='19530')
+
+fields = [
+   FieldSchema(name='id', dtype=DataType.INT64, descrition='ids', is_primary=True, auto_id=True),
+   FieldSchema(name='text_id', dtype=DataType.VARCHAR, descrition='text', max_length=500),
+   FieldSchema(name='text', dtype=DataType.VARCHAR, descrition='text', max_length=1000),
+   FieldSchema(name='embedding', dtype=DataType.FLOAT_VECTOR, descrition='embedding vectors', dim=dim)
+]
+schema = CollectionSchema(fields=fields, description='enhanced qa')
+collection = Collection(name=collection_name, schema=schema)
+
+index_params = {
+    'metric_type':"IP",
+    'index_type':"IVF_FLAT",
+    'params':{"nlist":2048}
+}
+collection.create_index(field_name="embedding", index_params=index_params)
+```
+
+- Create image embedding pipeline and set the configuration.
+
+> More parameters refer to the Configuration.
+
+```python
+from towhee import AutoPipes, AutoConfig
+
+config = AutoConfig.load_config('eqa-insert')
+config.model = 'all-MiniLM-L6-v2'
+config.host = '127.0.0.1'
+config.port = '19530'
+config.collection_name = collection_name
+
+p = AutoPipes.pipeline('eqa-insert', config=config)
+res = p('https://raw.githubusercontent.com/towhee-io/towhee/main/README.md')
+```
+
+Then you can run `collection.num_entities` to check the number of the data in Milvus as a knowledge base.
+
+<br />
+
+
+
+
+## Configuration 
+
+**EnhancedQAInsertConfig**
+
+- Configuration for [Text Loader](https://towhee.io/towhee/text-loader)
+
+***chunk_size: int***
+The size of each chunk, defaults to 300.
+
+***source_type: str***
+The type of the soure, defaults to `'file'`, you can also set to `'url'` for you url of your documentation. 
+
+- Configuration for Sentence Embedding
+
+***model: str***
+The model name in the sentence embedding pipeline, defaults to `'all-MiniLM-L6-v2'`.
+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).
+
+***openai_api_key: str***
+The api key of openai, default to `None`. 
+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).
+
+***customize_embedding_op: str***
+The name of the customize embedding operator, defaults to `None`.
+
+***normalize_vec: bool***
+Whether to normalize the embedding vectors, defaults to `True`.
+
+***device:*** ***int***
+The number of devices, defaults to `-1`, which means using the CPU. 
+If the setting is not `-1`, the specified GPU device will be used.
+
+- Configuration for [Milvus](https://towhee.io/ann-insert/milvus-client)
+
+***host: str***
+Host of Milvus vector database, default is `'127.0.0.1'`.
+
+***port: str***
+Port of Milvus vector database, default is `'19530'`. 
+
+***collection_name: str***
+The collection name for Milvus vector database, is required when inserting data into Milvus.
+
+***user: str***
+The user name for [Cloud user](https://zilliz.com/cloud), defaults to `None`.
+
+***password: str***
+The user password for [Cloud user](https://zilliz.com/cloud), defaults to `None`.
+
+<br />
+
+
+
+## Interface
+
+Insert documentation into Milvus as a knowledge base.
+
+**Parameters:**
+
+ ***doc***: str
+
+Path or url of the document to be loaded.
+
+**Returns:** MutationResult
+
+A MutationResult after inserting Milvus.