SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Monitor browser logs directly from Cursor and other MCP compatible IDEs.

🤖 A visualization mcp contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

A Model Context Protocol server for Excel file manipulation

Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

Open-source vector similarity search for Postgres

Build resilient language agents as graphs.

The Tavily Python wrapper allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python program…

A python Linear Programming API

Google's Operations Research tools:

Build Real-Time Knowledge Graphs for AI Agents

An open source multi-tool for exploring and publishing data

Intake is a lightweight package for finding, investigating, loading and disseminating data.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

A modular graph-based Retrieval-Augmented Generation (RAG) system

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

💫 Toolkit to help you get started with Spec-Driven Development

Code supporting "A novel multi-method framework for global real-time climate attribution" by Gilford et al. (2022, ASCMO)

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

CLIMADA is a free and open-source software framework for climate risk assessment and adaptation option appraisal.

Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧