#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

#python #agents #ai_agents #ai_agents_framework #artificial_intelligence #developer_tools #devtools #generative_ai #knowledge_graph #memory #rag

Potpie is an open-source platform that helps you automate code analysis, testing, and development tasks. It creates AI agents that understand your codebase deeply, allowing them to assist with debugging, feature development, and more. You can use pre-built agents for common tasks like debugging and testing, or create custom agents to handle specific needs. Potpie integrates seamlessly into your existing development workflow and works with codebases of any size or language. This makes it easier for developers to understand the codebase quickly, review code changes, and generate tests, saving time and improving efficiency.

https://github.com/potpie-ai/potpie

#python #genai #gpt #gpt_4 #graphrag #knowledge_graph #large_language_models #llm #rag #retrieval_augmented_generation

LightRAG is a system that helps computers understand and answer questions better by using a special way of organizing information called a "graph." This graph shows how different pieces of information are connected, making it easier for the system to find related answers. It works fast and can handle complex questions by combining two types of searches: one that looks at specific details and another that looks at broader topics. This makes it very useful for answering questions that need both specific and general information. Users benefit from getting accurate and relevant answers quickly, which is helpful in many applications like customer service and document retrieval.

https://github.com/HKUDS/LightRAG

#python #agents #knowledge_graph #llm #llm_agent #rag #search #search_agent #vector_database

Airweave is a tool that helps make information from apps and databases easily accessible to AI agents. It connects over 100 data sources with minimal coding, allowing for fast data synchronization and semantic search. This means you can quickly turn app data into useful knowledge for AI agents, making them smarter and more efficient. It's especially helpful for tasks like customer support or generating reports, as it ensures AI agents have the most accurate and up-to-date information.

https://github.com/airweave-ai/airweave

#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

#python #ai #context #embedded #faiss #knowledge_base #knowledge_graph #llm #machine_learning #memory #nlp #offline_first #opencv #python #rag #retrieval_augmented_generation #semantic_search #vector_database #video_processing

Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.

https://github.com/Olow304/memvid

#rust #ai #change_data_capture #context_engineering #data #data_engineering #data_indexing #data_infrastructure #data_processing #etl #hacktoberfest #help_wanted #indexing #knowledge_graph #llm #pipeline #python #rag #real_time #rust #semantic_search

**CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.**

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