TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14821 · Jun 11
#typescript#editor#gfm#javascript#markdown#markdown_editor#milkdown#prosemirror#remarkjs#rich_text_editor#typescript#wysiwyg#wysiwyg_editor Milkdown is a flexible, open-source editor that lets you write and edit Markdown in a simple, visual way, just like you see it in apps such as Typora. It is built using powerful tools like ProseMirror and Remark, and everything in Milkdown works as a plugin, so you can add or remove features easily. You can customize its look and feel to match your app, and it supports real-time collaboration for team editing. This means you get a reliable, easy-to-use editor that fits your needs and grows with your projects, making writing and sharing documents smoother and more efficient[1][2][4]. https://github.com/Milkdown/milkdown
Search: #neo4j
@repo_science · Post #3205 · 05/19/2023, 10:18 PM
#database#Neo4j#Spring 💾 Graph Database : Neo4j with Spring Boot NoSQL : Neo4j with Java and Spring Framework. Node, Relationship with CRUD Operations & AND, OR, IN Cypher Queries 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
@githubtrending · Post #15360 · 12/23/2025, 02:30 PM
#python#docker#fastapi#kbqa#kgqa#llms#neo4j#rag#vue Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development. https://github.com/xerrors/Yuxi-Know
@githubtrending · Post #15518 · 02/24/2026, 11:30 AM
#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector
@githubtrending · Post #14791 · 06/05/2025, 12:30 PM
#python#ai#ai_agents#ai_memory#cognitive_architecture#cognitive_memory#contributions_welcome#good_first_issue#good_first_pr#graph_database#graph_rag#graphrag#help_wanted#knowledge#knowledge_graph#neo4j#open_source#openai#rag#vector_database Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs. https://github.com/topoteretes/cognee