n [Fax] NVARCHAR(24),\n [Email] NVARCHAR(60),\n CONSTRAINT [PK_Employee] PRIMARY KEY ([EmployeeId]),\n FOREIGN KEY ([ReportsTo]) REFERENCES [Employee] ([EmployeeId]) \n\t\tON DELETE NO ACTION ON UPDATE NO ACTION\n)\n\n\n===Additional Context \n\nThis is a SQLite database....
# The import statement will vary depending on your LLM and vector database. This is an example for OpenAI + ChromaDB from vanna.openai.openai_chat import OpenAI_Chat from vanna.chromadb.chromadb_vector import ChromaDB_VectorStore class MyVanna(ChromaDB_VectorStore, OpenAI_Chat): def __init...
con=connect(user=sf_user,password=sf_password,account=sf_account)cursor=con.cursor()cursor.execute("USE DATABASE AIRBNB;")query='''SELECTDATE,REVIEWER_NAME,COMMENTS,R.IDasREVIEW_ID,LATITUDE,LONGITUDE,ROOM_TYPE,DESCRIPTION,NEIGHBOURHOOD_CLEANSEDasNEIGHBORHOODFROMREVIEWSASRJOINLISTINGSasLONR.LISTING_ID=...
SqlDatabaseContentRetriever 是ContentRetriever 的实验性实现,位于 langchain4j-experimental-sql 模块中。 它使用 DataSource 和LLM为给定的自然语言 Query 生成并执行 SQL 查询。 有关更多信息,请参阅 SqlDatabaseContentRetriever 的Javadoc。 示例。 6.6.4 Azure AI 搜索内容检索器 AzureAiSearchContentRetriever 可...
# The import statement will vary depending on your LLM and vector database. This is an example for OpenAI + ChromaDB from vanna.openai.openai_chat import OpenAI_Chat from vanna.chromadb.chromadb_vector import ChromaDB_VectorStore class MyVanna(ChromaDB_VectorStore, OpenAI_Chat): ...
TAG通过系统的三步过程在语言模型和数据库之间创建结构化连接,从而增强了传统的Text-to-SQL方法: (1)数据相关性和查询合成:TAG标识相关数据以处理用户查询,并生成与底层数据库结构一致的优化SQL查询。 (2)数据库执行:对数据集执行生成的SQL查询,有效地过滤和检索相关的见解。
Vanna works in two easy steps - train a RAG "model" on your data, and then ask questions which will return SQL queries that can be set up to automatically run on your database. Train a RAG "model" on your data. Ask questions. If you don't know what RAG is, don't worry -- yo...
database: dotenv.env['PGDATABASE']!, port: 5432, username: dotenv.env['PGUSER']!, password: dotenv.env['PGPASSWORD']!, ); final connection = await Connection.open( endpoint, settings: ConnectionSettings( sslMode: SslMode.verifyFull, ...
我们希望向大家分享一下：引入知识图谱技术后，传统RAG链路到Graph RAG链路会有什么样的变化，如何兼容RAG中的向量数据库（Vector Database）和图数据库（Graph Database）基座，以及蚂蚁的Graph RAG开源技术方案和未来优化方向。二、传统RAG 首先回顾一下传统RAG的核心链路。（图：基于Vector的RAG链路）传统RAG的核心...
Vanna works in two easy steps - train a RAG "model" on your data, and then ask questions which will return SQL queries that can be set up to automatically run on your database. Train a RAG "model" on your data. Ask questions. If you don't know what RAG is, don't worry -- yo...