GitHub Trends

#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

#typescript#anki#chatgpt#deepseek#electron#evernote#knowledge_base#local_first#markdown#note_taking#notes_app#notion#obsidian#ocr#ollama#openai#pdf#s3#self_hosted#webdav SiYuan is a privacy-first personal knowledge management tool. It allows you to organize your thoughts and notes in a secure way, even offline. You can use features like block-level references, Markdown editing, and mathematical formulas. It also supports AI tools and has apps for Android, iOS, and HarmonyOS. SiYuan is open source and free for most features, making it a great choice for managing your personal knowledge securely. https://github.com/siyuan-note/siyuan

#rust#ai#ai_engineering#anthropic#artificial_intelligence#deep_learning#genai#generative_ai#gpt#large_language_models#llama#llm#llmops#llms#machine_learning#ml#ml_engineering#mlops#openai#python#rust TensorZero is a free, open-source tool that helps you build and improve large language model (LLM) applications by using real-world data and feedback. It gives you one simple API to connect with all major LLM providers, collects data from your app’s use, and lets you easily test and improve prompts, models, and strategies. You can see how your LLMs perform, compare different options, and make them smarter, faster, and cheaper over time—all while keeping your data private and under your control. This means you get better results with less effort and cost, and your apps keep improving as you use them[1][2][3]. https://github.com/tensorzero/tensorzero

#other#agents#agi#ai#anthropic#artifacts#awesome#awesome_list#bots#chatbot#chatgpt#claude#exploit#gemini#google#gpt#hack#jailbreak#openai#prompts#spam AI tools like autonomous software engineers can help developers by completing tasks independently or working alongside them. This can increase productivity by automating repetitive tasks, allowing developers to focus on more complex and creative work. AI also helps reduce errors and improves code quality, making the development process faster and more efficient. Overall, using AI in software development can lead to better outcomes and more innovative solutions. https://github.com/friuns2/BlackFriday-GPTs-Prompts

#java#anthropic#chatgpt#chroma#embeddings#gemini#gpt#huggingface#java#langchain#llama#milvus#ollama#onnx#openai#openai_api#pgvector#pinecone#vector_database#weaviate LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications. https://github.com/langchain4j/langchain4j

#typescript#assistant#chatbot#knowledge_base#llm#markdown#nextjs#note_taking#notes_app#openai#rag#tauri#webdav NoteGen is a helpful tool for taking notes. It works on many devices like Mac, Windows, and Linux, and will soon work on iOS and Android. It uses AI to help you organize your recordings into readable notes. You can record audio, take screenshots, and add text or images to your notes. NoteGen also supports Markdown, which makes it easy to format your notes. It helps you save time by automatically organizing your recordings and allows you to use AI models like ChatGPT for assistance. This makes it easier to write and manage your notes efficiently. https://github.com/codexu/note-gen

#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

#csharp#ai#artificial_intelligence#llm#openai#sdk Semantic Kernel is a tool that helps developers build and manage AI systems easily. It supports multiple programming languages like C#, Python, and Java, making it versatile for different projects. This tool allows you to connect your AI models to various services and databases, which helps in automating tasks and making decisions based on user inputs. It's especially useful for businesses because it's reliable, secure, and can handle complex workflows. By using Semantic Kernel, developers can create intelligent AI agents that can interact with users and perform tasks efficiently. https://github.com/microsoft/semantic-kernel

#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai

#typescript#chatgpt#claude#copilot#cursor#developer_tools#editor#llm#open_source#openai#visual_studio_code#vscode#vscode_extension Void is a free, open-source code editor that works like Cursor but gives you more control over your data and lets you use any AI model you want, including ones you run yourself. It’s built on top of VS Code, so you can keep your favorite settings and themes. Void offers features like AI-powered code completion, quick edits, and chat with different AI models, and you can even see and change the prompts the AI uses. This means you can code faster, work privately, and use the latest AI tools without being locked into one provider or worrying about your data being sent elsewhere[1][2][4]. https://github.com/voideditor/void

#typescript#ai#analytics#datasets#dspy#evaluation#gpt#llm#llmops#low_code#observability#openai#prompt_engineering LangWatch helps you monitor, test, and improve AI applications by tracking performance, comparing different setups, and optimizing prompts automatically. It works with any AI tool or framework, keeps your data secure, and lets you collaborate with experts to fix issues quickly, making your AI more reliable and efficient. https://github.com/langwatch/langwatch

#other#chatgpt#gpt_3_5#gpt_4#jailbreak#openai#prompt ChatGPT "DAN" (Do Anything Now) and similar jailbreak prompts allow users to bypass standard restrictions, enabling unfiltered responses on any topic, including generating unverified information, explicit content, or harmful instructions. These prompts work by simulating a role-play scenario where the AI ignores ethical guidelines and content policies, providing both restricted and unrestricted answers. The benefit is accessing typically blocked information or creative outputs, though this comes with risks of misinformation and harmful content[1][2][4]. https://github.com/0xk1h0/ChatGPT_DAN