A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG

Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.

Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.

Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.

GenoQuery is an innovative tool designed to streamline the process of querying genomic and biological data through a user-friendly chatbot interface.

Application component that provides Natural Language Querying (NLQ) services, making knowledge stored in a graph database accessible for e.g. a ChatBot UI.

Python modules and Jupyter Notebooks demonstrating NLQ system using GraphDB

A complete data journey is demonstrated. Data engineering -> Data analysis (EDA) -> Data visualization -> Data forecasting -> Data Science (GenAI LLM approach). Interactive Tableau and Power BI dashboard are included for non-technical stakeholders.

Query OpenSearch indices with natural language.

A comprehensive testing toolkit for NLQ systems using Gemini AI with TOON format for 50-80% token reduction

🌍 Build and manage 4D spatiotemporal data with Atlas4D, a powerful platform leveraging PostgreSQL for advanced AI applications.