A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
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Updated
Mar 21, 2025 - Python
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.
Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.
Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema.
GenoQuery is an innovative tool designed to streamline the process of querying genomic and biological data through a user-friendly chatbot interface.
A two-step framework for extracting textual answers from egocentric videos via NLQ, combining VSLNet for segment localization and Video-LLaVA for efficient answer generation.
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.
A comprehensive testing toolkit for NLQ systems using Gemini AI with TOON format for 50-80% token reduction
An AI-powered conversational chatbot built for the Central Ground Water Board (CGWB) that makes India's groundwater assessment data (INGRES) accessible through natural language. Ask questions in any of 11 Indian languages, get instant insights, and explore interactive visualizations — no technical expertise required.
30-query DoE stress-test of an enterprise NL2SQL semantic platform. Diagnosed 16 architectural failures across 5 bug classes using BigQuery ground-truth validation.
🌍 Build and manage 4D spatiotemporal data with Atlas4D, a powerful platform leveraging PostgreSQL for advanced AI applications.
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