Tags: #knowledge-graph

PipesHub is an extensible and explainable workplace AI platform for enterprise search and workflow automation, enabling natural language information retrieval and custom AI app creation.

An open-source, local-first AI coworker that builds a long-lived knowledge graph from your work (email, meetings) to help you draft, summarize, and plan privately.

LightRAG is a simple and fast framework for Retrieval-Augmented Generation, designed to enhance LLM performance with external knowledge.

A modular graph-based Retrieval-Augmented Generation (RAG) system designed to extract structured data from unstructured text using LLMs to enhance reasoning on private data.

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

An open-source, local-first AI memory system designed for verbatim storage and high-recall semantic retrieval of conversation history.

Optimizes AI coding tools by building a local knowledge graph of your codebase, significantly reducing token usage for code reviews and daily coding tasks.

A graph-native platform for storing, enriching, and retrieving structured knowledge to power AI applications and intelligent agents.

Provides persistent memory for AI coding agents, eliminating the need for repeated explanations and improving efficiency.