Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
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Updated
Mar 6, 2024 - Python
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.
VS Code extension for AI-generated SQL from Natural Language Queries
We'll use NQ (Natural Questions) dataset from the Google. We'll find weak negatives, and hard negatives first. Then we'll calculate word embeddings using OpenAI's text-embedding-ada-002 word embedding model to compare the accuracy and performance with customized word embeddings.
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