The AWS Bedrock contains the publisher endpoints for Anthropic Claude V2 model, which is a large language model (LLMs) that generate text and code in response to natural language prompts.
Create a config.py in the config folder with the following environment variables:
openai_api_key = "" API key from OpenAI
service_account = "" #Cloud SQL service account
database_version="MYSQL_8_0"
cpu=2
memory="8GB"
storage_size="10GB"
db_user = ""
db_name = ""
bucket = "gs://" # bucket for storing MySQL dump file
project_id=""
region=""
instance_name="" # Instance name \
Use the mysql-database-setup.ipynb notebook to set up the database environment with config options above. This notebook does the following:
- Download MySQL dump file from MySQL Public Tutorial
- Create Cloud Storage bucket and RDS instance
- Import MySQL dump file into RDS instance
This is a very common example relational structure for a retail company
bedrock-anthropic-claudev2-text-to-sql: Use Text-to-SQL Generative AI to build an end-to-end application.
bedrock-langchain-anthropic-claudev2-text-to-sql.ipynb: Integrating Bedrock API with Langchain get questions/answers from our database.
LangChain is a framework for developing applications powered by language models. It enables applications that are:
- Data-aware: connect a language model to other sources of data
- Agentic: allow a language model to interact with its environment
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