#html #autogen #autogen_extension #langchain #markdown #microsoft_office #openai #pdf

MarkItDown is a tool that helps you convert many types of files into Markdown format. It supports converting files like PDF, PowerPoint, Word, Excel, images, audio, HTML, and more. You can install it using `pip install markitdown` or from the source code. The tool has a simple command-line interface and also works with Python scripts. It even supports plugins and integration with Azure Document Intelligence for advanced conversions. This makes it easy to analyze and index different types of files, which is very useful for organizing and working with various document formats.

https://github.com/microsoft/markitdown

#typescript #ai #artificial_intelligence #browser #browser_automation #gpt #gpt_4 #langchain #llama #llm #openai #playwright #puppeteer #scraper

LLM Scraper is a tool that helps you get structured data from any webpage using large language models (LLMs). It supports different AI providers like OpenAI and Ollama, and it uses the Playwright framework to work with web pages. You can define what data you want to extract using schemas, which makes sure everything is organized correctly. This tool also allows you to generate code automatically for scraping tasks, making it easier to reuse scripts. The benefit is that you can easily collect data from websites in a structured way, which is helpful for projects that need specific information from the internet.

https://github.com/mishushakov/llm-scraper

#jupyter_notebook #agents #ai #genai #langchain #langgraph #llm #llms #openai #tutorials

This repository offers a comprehensive collection of tutorials and implementations for building Generative AI (GenAI) agents. It helps users learn how to create simple conversational bots to complex multi-agent systems. By using this resource, you can improve your skills in developing AI solutions that automate tasks, enhance decision-making, and provide personalized experiences. The benefits include increased efficiency, better customer interactions, and the ability to innovate faster than competitors.

https://github.com/NirDiamant/GenAI_Agents

#jupyter_notebook #ai #langchain #llama_index #llm #llms #opeani #python #rag #tutorials

This project is about improving Retrieval-Augmented Generation (RAG) systems, which combine information retrieval with AI to generate more accurate and relevant responses. By sponsoring this project through GitHub Sponsors, you help support the development of these advanced techniques. Your sponsorship fuels innovation in RAG technologies, allowing for better maintenance and expansion of this valuable resource. This benefits users by providing them with cutting-edge tools and insights that enhance their work with AI systems.

https://github.com/NirDiamant/RAG_Techniques

#go #ai #ai_application #ai_framework #langchain #langchain_for_go #langchaingo #llm_application

Eino is a powerful tool for building AI applications using large language models (LLMs). It helps developers create complex AI apps quickly and reliably by providing reusable components, strong type checking, and efficient stream processing. Eino simplifies the development process with its easy-to-use APIs and tools for debugging and visualization. This makes it easier to manage data flows and handle multiple tasks at once, ensuring that your AI applications are both scalable and maintainable.

https://github.com/cloudwego/eino

#python #agents #bgi #database #gpt #gpt_4 #hacktoberfest #langchain #llm #private #rag #security #vicuna

DB-GPT is an open-source framework that helps developers build AI applications using databases and large language models. It offers features like managing multiple AI models, converting natural language to SQL queries, and integrating external knowledge sources. This makes it easier for users to create custom data applications with less code. The benefits include streamlined development, improved data analysis, and enhanced collaboration between different AI agents, making complex tasks simpler and more efficient.

https://github.com/eosphoros-ai/DB-GPT

#python #agent #agentops #agents_sdk #ai #anthropic #autogen #cost_estimation #crewai #evals #evaluation_metrics #groq #langchain #llm #mistral #ollama #openai #openai_agents

AgentOps is a tool that helps developers monitor and improve AI agents. It provides features like session replays, cost management for Large Language Models (LLMs), and security checks to prevent data leaks. This platform allows you to track how your agents perform, interact with users, and use external tools. By using AgentOps, you can quickly identify problems, optimize agent performance, and ensure compliance with safety standards. It integrates well with popular platforms like OpenAI and AutoGen, making it easy to set up and use[1][3][5].

https://github.com/AgentOps-AI/agentops

#typescript #aceternity_ui #agent #agents #ai #chrome_extension #extension #fastapi #glean #langchain #langgraph #nextjs #nextjs15 #notebooklm #notion #ollama #perplexity #python #rag #slack #typescript

SurfSense is a highly customizable AI research tool that helps you organize and search your personal knowledge base. It connects to many external sources like search engines, Slack, Notion, YouTube, and GitHub. You can upload various file types and interact with your saved content using natural language. SurfSense provides cited answers and supports local AI models, making it a powerful tool for research. It's also self-hostable and open-source, allowing you to control your data and customize it as needed. This helps you manage information more efficiently and privately.

https://github.com/MODSetter/SurfSense

#jupyter_notebook #agentic_ai #agents #course #huggingface #langchain #llamaindex #smolagents

The Hugging Face Agents Course is a free, interactive course that teaches you how to build and deploy AI agents. It's divided into four units, starting with the basics of agents and ending with a final project where you create and test your own agent. You'll learn about frameworks like `smolagents`, `LangGraph`, and `LlamaIndex`, and how to use large language models (LLMs) in your agents. The course benefits you by providing hands-on experience and practical skills in AI agent development, helping you become proficient in creating and deploying AI agents.

https://github.com/huggingface/agents-course

#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 #ai_gateway #gateway #generative_ai #hacktoberfest #langchain #llama_index #llmops #llms #openai #prompt_engineering #router

The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.

https://github.com/Portkey-AI/gateway

#python #ai #faiss #gpt_oss #langchain #llama_index #llm #localstorage #offline_first #ollama #privacy #python #rag #retrieval_augmented_generation #vector_database #vector_search #vectors

LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop.

https://github.com/yichuan-w/LEANN