#python #agent #agents #ai_search #chatbot #chatgpt #data_pipelines #deep_learning #document_parser #document_understanding #genai #graph #graphrag #llm #nlp #pdf_to_text #preprocessing #rag #retrieval_augmented_generation #table_structure_recognition #text2sql

RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.

https://github.com/infiniflow/ragflow

#python #chatbot #chatbots #chatgpt #chatgpt_4 #chatgpt_api #chatgpt_free #chatgpt4 #free_gpt #gpt #gpt_3 #gpt_4 #gpt3 #gpt4 #gpt4_api #language_model #openai #openai_api #openai_chatgpt #python #reverse_engineering

The `gpt4free` project is a tool that allows you to use various AI models like GPT-3.5 and DALL-E 3 without paying for expensive APIs. Here’s how it helps you It supports multiple AI providers, including OpenAI, Bing, and others, allowing you to choose the best option for your needs.
- **Easy Installation** It includes a web UI that you can access locally, making it easy to interact with the AI models.
- **Customization** The project is open-source and actively maintained by a community of contributors, ensuring continuous improvements and new features.

Overall, `gpt4free` provides a flexible and cost-effective way to leverage advanced AI capabilities.

https://github.com/xtekky/gpt4free

#jupyter_notebook #agent_based_framework #agent_oriented_programming #agentic #agentic_agi #chat #chat_application #chatbot #chatgpt #gpt #gpt_35_turbo #gpt_4 #llm_agent #llm_framework #llm_inference #llmops

AutoGen is a tool that helps you build AI systems where agents can work together and perform tasks on their own or with human help. It makes it easier to create scalable, distributed, and resilient AI applications. Here are the key benefits Agents can talk to each other using asynchronous messages.
- **Scalable** You can add your own agents, tools, and models to the system.
- **Multi-Language Support** It includes features to track and debug how the agents interact.

Using AutoGen, you can develop and test your AI systems locally and then move them to a cloud environment as needed. This makes it simpler to build and manage advanced AI projects.

https://github.com/microsoft/autogen

#typescript #ai #chatbot #chatgpt #copilot #desktop #desktop_app #gpt #gpt_4 #linux #macos #ollama #openai #ubuntu #windows

Chatbox is a powerful AI tool that you can use on your desktop or mobile device. It supports multiple language models like ChatGPT, Claude, and more, and offers features like local data storage for privacy, easy installation, and image generation with Dall-E-3. You can use it in multiple languages, collaborate with teams, and enjoy a user-friendly interface with dark mode. It's available for Windows, Mac, Linux, iOS, and Android, making it convenient to use anywhere. The benefits include enhanced productivity with keyboard shortcuts, advanced prompting, and the ability to save and reuse prompts, all while keeping your data private and secure.

https://github.com/Bin-Huang/chatbox

#typescript #agents #ai_agents #ai_agents_framework #anthropic_claude #aws #aws_bedrock #aws_cdk #aws_lambda #chatbot #framework #generative_ai #machine_learning #openai #openaiapi #orchestrator #python #serverless #typescript

The Multi-Agent Orchestrator is a powerful tool that helps manage multiple AI agents to handle complex conversations. It intelligently routes user queries to the most suitable agent based on context and content, ensuring coherent interactions. Here are the key benefits Automatically directs user queries to the right agent.
- **Context Management** Supports both streaming and non-streaming responses, and can run on various platforms including AWS Lambda and local environments.
- **Customization** Comes with ready-to-use agents and classifiers for quick deployment.

This makes it ideal for applications ranging from simple chatbots to sophisticated AI systems, providing efficient and scalable solutions.

https://github.com/awslabs/multi-agent-orchestrator

#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

#typescript #ai #ai_assistant #anthropic #chatbot #chatgpt #claude #developer_tools #development_tools #devtools #gemini #generative_ai #gpt #javascript #js #llm #nodejs #openai #typescript

Repomix is a tool that packs your entire code repository into a single file, making it easy for AI tools like ChatGPT and Claude to understand and analyze your code. It formats your code in a way that AI can process efficiently, provides token counts, and is simple to use with just one command. You can customize what to include or exclude, and it respects your `.gitignore` files. Repomix also includes security checks to prevent sensitive information from being included. To use it, simply install Repomix with `npm install -g repomix` and run `repomix` in your project directory. This helps you get comprehensive code reviews, generate documentation, and more, all while ensuring your code is secure and optimized for AI analysis.

https://github.com/yamadashy/repomix

#typescript #artificial_intelligence #chatbot #chatgpt #javascript #langchain #large_language_models #llamaindex #low_code #no_code #openai #rag #react #typescript #workflow_automation

Flowise is a tool that makes it easy to build applications using Large Language Models (LLMs) with a drag-and-drop interface. You can quickly start by installing NodeJS and then installing Flowise using simple commands. It also supports deployment through Docker and various cloud services like AWS, Azure, and more. The benefit to you is that you can create customized LLM flows without needing to write complex code, making it easier and faster to develop your applications. Additionally, Flowise offers extensive documentation and community support to help you along the way.

https://github.com/FlowiseAI/Flowise

#typescript #agent #anthropic #assistant #chatbot #chatbotai #electron #llm #openai

Cherry Studio is a powerful desktop app that works on Windows, Mac, and Linux. It supports many different AI services like OpenAI, Gemini, and more. You can use pre-configured AI assistants or create your own, and even have conversations with multiple AI models at once. The app also helps with documents, images, and other files, and includes tools like global search, topic management, and AI translation. It's easy to use, has light and dark themes, and allows easy content sharing. This makes it very useful for anyone who needs to work with AI tools regularly.

https://github.com/kangfenmao/cherry-studio

#other #chatbot #hugging_face #llm #llm_local #llm_prompting #llm_security #llmops #machine_learning #open_ai #pathway #rag #real_time #retrieval_augmented_generation #vector_database #vector_index

Pathway's AI Pipelines help you quickly create and deploy AI applications with high accuracy. These pipelines use the latest knowledge from your data sources and offer ready-to-deploy templates for large language models. You can test these apps on your own machine and deploy them on cloud services like GCP, AWS, or Azure, or on-premises. The apps connect to various data sources such as file systems, Google Drive, and databases, and they include built-in data indexing for efficient searches. This makes it easy to extract and organize data from documents in real-time, reducing the need for separate infrastructure setups. This simplifies the process of building and maintaining AI applications, saving you time and effort.

https://github.com/pathwaycom/llm-app