ceteri

rule-based-retrieval

The Rule-based Retrieval package is a Python package that enables you to create and manage Retrieval Augmented Generation (RAG) applications with advanced filtering capabilities. It seamlessly integrates with OpenAI for text generation and Pinecone or Milvus for efficient vector database management.

schemas

Schemas for WhyHow's automated knowledge graph creation SDK

chat-graph

A generic web interface to chat with any graph created with Concerto Graph

llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

Memary

The Open Source Memory Layer For Autonomous Agents

langchain

🦜🔗 Build context-aware reasoning applications

rag-graph-data-models

Graph data models for RAG applications

rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

rlcard-tutorial

Python and R tutorial for RLCard in Jupyter Notebook

ieml

IEML semantic language - a meaning-representation system based on semantic primitives and a regular grammar. Basic semantic relationships between concepts are automatically computed from syntactic similarities.

eurisko

Doug Lenat's EURISKO from SAIL archives circa 1981

mlops-talk-llm-kg

Talk for MLOps - Machine Learning in Production conference

G-Retriever

Repository for G-Retriever

KG-RAG-datasets

Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets

KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

TopoNetX

Computing on Topological Domains

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

chain-of-knowledge

[ICLR2024] Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

PypiReCom

gorilla

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

kuzu-blog

graph-notebooks

playground for graph related learnings

cookbook

Open-source AI cookbook

Generative-Diffusion-Models-on-Graphs

neovis.js

Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.

soflim4kg

Website of the SofLiM4KG Workshop

graph-data-science-client

A Python client for the Neo4j Graph Data Science (GDS) library

llama_parse

Parse files for optimal RAG

OpenGraph

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"