#python #graph_embedding #knowledge_base #knowledge_graph #prolog

https://github.com/complexdb/zincbase

#typescript #knowledge_graph #local_first #markdown #markdown_notes #note_taker #notes #pwa #react #webworkers #wysiwyg

https://github.com/bangle-io/bangle-io

#typescript #angular #chatgpt #electron #knowledge_base #knowledge_discovery #knowledge_distillation #knowledge_graph #knowledge_management #knowledge_sharing #langchain #learning #openai #research

https://github.com/KnowledgeCanvas/knowledge

#clojure #clojure #clojurescript #git #graph #knowledge_base #knowledge_graph #local_first #markdown #note_taking #org_mode #pkm

Logseq is a tool that helps you manage your knowledge and collaborate with others while keeping your data private. It offers powerful tools for organizing notes, collaborating, annotating PDFs, and managing tasks. You can use it to visually group and link your notes, videos, and images on a canvas. Logseq supports multiple file formats like Markdown and Org-mode and has a growing ecosystem of plugins and themes to customize your experience. It also has mobile apps, making it accessible anywhere. By using Logseq, you can improve your productivity and streamline your workflow easily.

https://github.com/logseq/logseq

#typescript #chatbot #cot #graphrag #knowledge_graph #mysql #rag #serverless #vector_database

TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.

https://github.com/pingcap/autoflow

#python #knowledge_graph #large_language_model #logical_reasoning #multi_hop_question_answering #trustfulness

KAG (Knowledge Augmented Generation) is a powerful tool that helps computers understand and reason with complex information better. It uses large language models and a special engine to build logical reasoning and question-answering systems, especially in professional domains like medicine or finance. KAG improves upon older methods by reducing errors and noise, and it can handle multiple steps of reasoning and fact-checking.

The benefit to the user is that KAG provides more accurate and reliable answers to complex questions, integrating both structured and unstructured data. This makes it very useful for professionals who need precise information and logical reasoning in their work.

https://github.com/OpenSPG/KAG