Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da

DuckDB extension for system monitoring & intelligent SQL routing. 25+ functions for CPU, memory, disk, network, processes. Conditionally Route queries to PostgreSQL, MySQL, Snowflake, BigQuery with automatic dialect translation via SQLGlot. Pure Rust, cross-platform.

An intelligent, stateful Customer Support Agent built with LangGraph and LangChain. It categorizes incoming queries, analyses their sentiment, and either routes them to the right specialist handler or escalates negative-sentiment queries to a human agent.

Reference multi-tenant knowledge-base system using LlamaIndex, RAG, vector search, SQL generation, and query routing.

This project demonstrates the integration of multiple AI agents using Retrieval-Augmented Generation (RAG) and WikiSearch functionalities, along with Cassandra for data storage and retrieval.

Reference architecture for legal contract intelligence, dual runtime (Azure / local docker)

Adaptive RAG pipeline with a lightweight DistilBERT query router for dynamic, latency-optimized retrieval strategies.

High-performance Hybrid RAG pipeline using LlamaIndex, MinerU, GLiNER, and LangExtract. Features advanced metadata enrichment, BM25-Vector fusion, and LaTeX-enabled synthesis for complex document analysis.

A sophisticated AI Agent combining RAG and Text-to-SQL via an LLM-based router. Built with LangChain and gpt-4o-mini to seamlessly toggle between unstructured AWS documentation (ChromaDB) and structured GitHub/StackOverflow analytics (SQLite).

A Sports Club Management database project showcasing database design, SQL querying, data analysis, and a distributed sharding backend using SQLite, MySQL, and a Flask API router.

A domain-agnostic, zero-dependency adaptive query router for RAG systems. Optimizes retrieval strategies using multi-signal statistical analysis of pilot scores.

An intelligent LLM routing system optimizing the cost-quality trade-off for RAG pipelines. Uses multi-tier semantic complexity scoring and embedding models to dynamically route queries.

This repository implements an Advanced Retrieval-Augmented Generation (RAG) pipeline with context-aware query decomposition for high-quality information retrieval. It includes redundancy filtering, cross-encoder–based document reranking, and controlled generation.

Database connection pooler and query router for the Servverse ecosystem — read/write splitting, slow query detection, multi-dialect support.