query-planning

build your own query planner

A high-performance spatial query layer for Polars

Run the PostgreSQL Explain Visualizer 2 (pev2) from the command line.

Index-aware planning proxy for Apache Iceberg REST catalogs: prunes data files on token and substring predicates that min/max statistics cannot, with no engine changes.

AI revision platform for university past papers, with PDF ingestion, hierarchical chunking, vector semantic search, query planning, and citation-grounded RAG study guide generation.

Spanning Tree-based Query Plan Enumeration

Active web-search RAG workbench with provider routing, source extraction, citation verification, and extractive fallback.

Hands-on PostgreSQL guide with Docker labs covering internals, performance, replication, HA, backup/recovery, and advanced SQL

🏥 Modular Agentic RAG Medical Assistant 🤖 built with LangGraph, Pinecone, Groq & Tavily. It intelligently routes queries between RAG, live web search, and direct answers. 🔬 Live tracing shows every agent step, while FastAPI + Streamlit deliver a production-ready full-stack experience. 🚀

Agentic pipeline for natural-language question answering over federated RDF graphs, with SPARQL endpoint discovery, schema-aware query planning, validation retries, and SPIDER4FedSPARQL benchmarking.

LLM query planner that compiles natural-language questions over 1M+ rows of Boston open data into typed SQL, retrieval, or cross-dataset plans, benchmarked at 86.7% accuracy vs 20% for RAG baselines

Implementation of the Count-Min-Sketch datastructure for cardinallity estimation on knowelege Graphs. Including experiments on how to reduce noise and make the estimation better.

Deterministic planner that picks which MQO pillar tools an NL question needs, in order, with a reason per step

This module covers techniques to optimize query execution, such as creating indexes, and query planning, that improve performance. It will also introduce tools and techniques for terminating inefficient queries that are consuming our database resources.

PostgreSQL planner path probing extension for planner-aware SQL agents

Intelligence layer for AI agents. Query planning, context discovery, cost optimization. 60-75% token reduction while maintaining quality.

Grafast — independent third-party profile of a public API surface, by API Evangelist. Next-generation PostgreSQL-backed GraphQL planning and execution engine from the Graphile project, replacing graphql-js execution with a plan-based approach to eliminate N+1 queries.