Best AI tools for< Integrate With Chat Api >

Chat Data is an AI application that allows users to create custom chatbots using their own data sources. Users can easily build and integrate chatbots with their websites or other platforms, personalize the chatbot's interface, and access advanced features like human support escalation and product updates synchronization. The platform offers HIPAA-compliant medical chat models and ensures data privacy by retaining conversation data exclusively within the user's browser. With Chat Data, users can enhance customer interactions, gather insights, and streamline communication processes.

Tapesearch is an AI-powered search engine that provides access to the largest open database of podcast transcripts. Users can quickly search for specific phrases within transcripts, explore spoken content, receive email alerts for keywords, and even engage in AI-powered chat sessions with podcasts. The platform is ideal for market research, competitive intelligence, and enhancing podcast accessibility for the deaf and hard of hearing community.

Sendbird is a communication API platform that offers solutions for chat, AI chatbots, SMS, WhatsApp, KakaoTalk, voice, and video. It provides tools for live chat, video, and omnichannel business messaging to enhance customer engagement both within and outside of applications. With a focus on enterprise-level scale, security, and compliance, Sendbird's platform is trusted by over 4,000 apps globally. The platform offers intuitive APIs, sample apps, tutorials, and free trials to help developers easily integrate communication features into their applications.

Libromi Connect is an AI-powered WhatsApp cloud business platform that offers advanced features to streamline customer engagement and automate interactions. It provides a no-code chatbot builder, native eCommerce integration within WhatsApp, bulk messaging capabilities, and a GPT4 AI chatbot. The platform also includes a team inbox for multi-agent chat support and CRM features for sales and support chat. Libromi Connect aims to revolutionize online shopping and customer service by leveraging the power of AI and WhatsApp's popularity.

AdaraChatbot is a platform that allows users to build their own chatbot using OpenAI Assistant API. It offers seamless integration for effortlessly incorporating a chatbot into websites. Users can test the chatbot assistant, ask questions, and receive responses powered by OpenAI Assistant API. AdaraChatbot provides features such as building chatbots with OpenAI's assistant, easy integration with websites, user inquiry with lead collection, real-time analytics, file attachments, and compatibility with popular website platforms. The application offers different pricing plans suitable for personal projects, organizations, and tailored solutions for large-scale operations.

Prodmagic is an AI tool that enables users to easily build advanced chatbots in minutes. With Prodmagic, users can connect their custom LLMs to create chatbots that can be integrated on any website with just a single line of code. The platform allows for easy customization of chatbots' appearance and behavior without the need for coding. Prodmagic also offers integration with custom LLMs and OpenAI, providing a seamless experience for users looking to enhance their chatbot capabilities. Additionally, Prodmagic provides essential features such as chat history, error monitoring, and simple pricing plans, making it a convenient and cost-effective solution for chatbot development.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

AIMLAPI.com is an AI tool that provides access to over 200 AI models through a single AI API. It offers a wide range of AI features for tasks such as chat, code, image generation, music generation, video, voice embedding, language, genomic models, and 3D generation. The platform ensures fast inference, top-tier serverless infrastructure, high data security, 99% uptime, and 24/7 support. Users can integrate AI features easily into their products and test API models in a sandbox environment before deployment.

Kel is an AI assistant designed to operate within the Command Line Interface (CLI). It offers users the ability to automate repetitive tasks, boost productivity, and enhance the intelligence and efficiency of their CLI interactions. Kel supports multiple Language Model Models (LLMs) including OpenAI, Anthropic, and Ollama. Users can upload files to interact with their artifacts and bring their own API key for OpenAI/Anthropic integration. The tool is free and open-source, allowing for community contributions on GitHub. For support inquiries, users can reach out to the Kel team.

VideoInsights.ai is an AI-powered platform that serves as your AI assistant for media analysis. It allows users to analyze media content in real-time and gain valuable insights through lightning-fast, conversational analysis. The platform offers powerful features such as chat with videos, visual analysis, uploading and managing audio/video files, analyzing YouTube videos, and integrating analysis features via API. VideoInsights GPT provides a conversational interface to intuitively analyze audio and visual content, enhancing the overall media experience.

Msgmate.io is an AI tool that offers an enhanced and customizable chat experience powered by GPT technology. Users can interact with a messaging bot that can generate images, answer general questions, make reminders, and more. The platform is still in its alpha stage and provides features like customizable prompts, integratable APIs, fast and accessible messaging, and easy integration with other applications. Msgmate.io aims to provide a user-friendly and efficient AI assistant for various tasks.

AiPlus is an AI tool designed to serve as a cost-efficient model gateway. It offers users a platform to access and utilize various AI models for their projects and tasks. With AiPlus, users can easily integrate AI capabilities into their applications without the need for extensive development or resources. The tool aims to streamline the process of leveraging AI technology, making it accessible to a wider audience.

GPTBricks is a no-code/low-code platform that enables users to create and customize AI chatbots powered by OpenAI's GPT-4 technology. It offers intuitive chatbot building, API integration, and real-time analytics without the need for coding skills. With features like no-code design, dynamic customization, effortless deployment, scalability, and powerful analytics, GPTBricks revolutionizes chat automation. The platform provides efficiency, user experience enhancement, and cost-effectiveness, allowing seamless integration with popular tools like Slack, WhatsApp, and Facebook Messenger. Trusted by businesses globally, GPTBricks offers flexible pricing plans and dedicated customer support to cater to various business needs.

ZeroGPT is a trusted AI detector tool that specializes in detecting AI-generated content like ChatGPT, GPT4, and Gemini. It offers advanced features such as AI summarization, paraphrasing, grammar and spell checking, translation, word counting, and citation generation. The tool is designed to provide highly accurate results and supports multiple languages. ZeroGPT stands out for its highlighted sentences feature, batch file upload capability, high accuracy model, and automatically generated reports. It utilizes DeepAnalyse™ Technology, a multi-stage methodology that optimizes accuracy while minimizing false positives and negatives. Users can unlock premium features and API access to enhance their writing skills and integrate the tool on a large scale.

DocsBot AI is a powerful AI tool that allows users to create custom chatbots from their documentation. It enables users to get instant answers for customers, automate customer support, improve team productivity, and enhance AI copywriting. DocsBot offers features like Embeddable Widgets, Reply to Support Tickets, Question/Answer Bots, Internal Knowledge Bots, Custom Copywriting, and a Powerful API. The application has advantages such as saving time and money, improving customer support experience, increasing team productivity, providing detailed answers, and simplifying content creation. However, it also has disadvantages like potential language limitations, dependency on user-provided content, and the need for training the chatbots effectively.

ZeroGPT is a comprehensive AI detection tool that helps users identify AI-generated content. It offers a range of features, including sentence highlighting, batch file upload, high accuracy, and support for multiple languages. ZeroGPT's DeepAnalyse™ Technology employs a multi-stage methodology to analyze text and determine its origin. The tool is designed to minimize false positives and negatives, providing users with reliable results. ZeroGPT also offers a user-friendly API for organizations, enabling them to integrate the tool into their systems.

The AI SDK is a free open-source library designed to empower developers in building AI-powered products. Developed by the creators of Next.js, it offers a range of features such as a chat-based web development companion, a Unified Provider API for seamless integration with different AI providers, generative UI for creating dynamic interfaces, framework-agnostic compatibility, and streaming AI responses for instant user feedback. The SDK has received positive feedback from developers for its ease of use and efficiency in automating processes.

Reachat is an open-source UI building library for creating chat interfaces in ReactJS. It offers highly customizable components and theming options, rich media support for file uploads and markdown formatting, an intuitive API for building custom chat experiences, and the ability to seamlessly switch between different AI models. Reachat is battle-tested and used in production across various enterprise products. It is a powerful, flexible, and user-friendly AI chat interface library that allows developers to easily integrate conversational AI capabilities into their applications without the need to spend weeks building custom components. Reachat is not tied to any specific backend or LLM, providing the freedom to use it with any backend or LLM of choice.

Glue is a smarter work chat application that integrates AI to assist in conversations and collaboration. It offers focused, AI-assisted conversations, intelligent assistants in threads, and the ability to bring AI into work discussions. With powerful context understanding, Glue AI can provide feedback, iterate on ideas, and summarize information. The application is designed for teams to work together efficiently, with features like threads without channels, groups organization, and productivity-first integrations. Glue also caters to developers by providing a toolbox for app connections and upcoming features like public API and an app platform.

The AI Workshop repository provides a comprehensive guide to utilizing OpenAI's APIs, including Chat Completion, Embedding, and Assistant APIs. It offers hands-on demonstrations and code examples to help users understand the capabilities of these APIs. The workshop covers topics such as creating interactive chatbots, performing semantic search using text embeddings, and building custom assistants with specific data and context. Users can enhance their understanding of AI applications in education, research, and other domains through practical examples and usage notes.

Cohere's Build-Your-Own-Connector framework allows integration of Cohere's Command LLM via the Chat API endpoint to any datastore/software holding text information with a search endpoint. Enables user queries grounded in proprietary information. Use-cases include question/answering, knowledge working, comms summary, and research. Repository provides code for popular datastores and a template connector. Requires Python 3.11+ and Poetry. Connectors can be built and deployed using Docker. Environment variables set authorization values. Pre-commits for linting. Connectors tailored to integrate with Cohere's Chat API for creating chatbots. Connectors return documents as JSON objects for Cohere's API to generate answers with citations.

Sparkle is a tool that streamlines the process of building AI-driven features in applications using Large Language Models (LLMs). It guides users through creating and managing agents, defining tools, and interacting with LLM providers like OpenAI. Sparkle allows customization of LLM provider settings, model configurations, and provides a seamless integration with Sparkle Server for exposing agents via an OpenAI-compatible chat API endpoint.

LangChain is a framework for developing Elixir applications powered by language models. It enables applications to connect language models to other data sources and interact with the environment. The library provides components for working with language models and off-the-shelf chains for specific tasks. It aims to assist in building applications that combine large language models with other sources of computation or knowledge. LangChain is written in Elixir and is not aimed for parity with the JavaScript and Python versions due to differences in programming paradigms and design choices. The library is designed to make it easy to integrate language models into applications and expose features, data, and functionality to the models.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

WebLLM is a modular and customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. WebLLM is fully compatible with OpenAI API. That is, you can use the same OpenAI API on any open source models locally, with functionalities including json-mode, function-calling, streaming, etc. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration.

ChatGLM.cpp is a C++ implementation of ChatGLM-6B, ChatGLM2-6B, ChatGLM3-6B and more LLMs for real-time chatting on your MacBook. It is based on ggml, working in the same way as llama.cpp. ChatGLM.cpp features accelerated memory-efficient CPU inference with int4/int8 quantization, optimized KV cache and parallel computing. It also supports P-Tuning v2 and LoRA finetuned models, streaming generation with typewriter effect, Python binding, web demo, api servers and more possibilities.

Minuet AI is a Neovim plugin that integrates with nvim-cmp to provide AI-powered code completion using multiple AI providers such as OpenAI, Claude, Gemini, Codestral, and Huggingface. It offers customizable configuration options and streaming support for completion delivery. Users can manually invoke completion or use cost-effective models for auto-completion. The plugin requires API keys for supported AI providers and allows customization of system prompts. Minuet AI also supports changing providers, toggling auto-completion, and provides solutions for input delay issues. Integration with lazyvim is possible, and future plans include implementing RAG on the codebase and virtual text UI support.

nvim.ai is a powerful Neovim plugin that enables AI-assisted coding and chat capabilities within the editor. Users can chat with buffers, insert code with an inline assistant, and utilize various LLM providers for context-aware AI assistance. The plugin supports features like interacting with AI about code and documents, receiving relevant help based on current work, code insertion, code rewriting (Work in Progress), and integration with multiple LLM providers. Users can configure the plugin, add API keys to dotfiles, and integrate with nvim-cmp for command autocompletion. Keymaps are available for chat and inline assist functionalities. The chat dialog allows parsing content with keywords and supports roles like /system, /you, and /assistant. Context-aware assistance can be accessed through inline assist by inserting code blocks anywhere in the file.

Chat-with-code is a codebase chatbot that enables users to interact with their codebase using the OpenAI Language Model. It provides a user-friendly chat interface where users can ask questions and interact with their code. The tool clones, chunks, and embeds the codebase, allowing for natural language interactions. It is designed to assist users in exploring and understanding their codebase more intuitively.

Stellar Chat is a multi-modal chat application that enables users to create custom agents and integrate with local language models and OpenAI models. It provides capabilities for generating images, visual recognition, text-to-speech, and speech-to-text functionalities. Users can engage in multimodal conversations, create custom agents, search messages and conversations, and integrate with various applications for enhanced productivity. The project is part of the '100 Commits' competition, challenging participants to make meaningful commits daily for 100 consecutive days.

CatAI is a tool that allows users to run GGUF models on their computer with a chat UI. It serves as a local AI assistant inspired by Node-Llama-Cpp and Llama.cpp. The tool provides features such as auto-detecting programming language, showing original messages by clicking on user icons, real-time text streaming, and fast model downloads. Users can interact with the tool through a CLI that supports commands for installing, listing, setting, serving, updating, and removing models. CatAI is cross-platform and supports Windows, Linux, and Mac. It utilizes node-llama-cpp and offers a simple API for asking model questions. Additionally, developers can integrate the tool with node-llama-cpp@beta for model management and chatting. The configuration can be edited via the web UI, and contributions to the project are welcome. The tool is licensed under Llama.cpp's license.

OpenAI-compatible API for TensorRT-LLM and NVIDIA Triton Inference Server, which allows you to integrate with langchain

QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository. It allows users to chat with GitHub public repositories using a git clone approach, store chat history, configure settings easily, manage multiple chat sessions, and quickly locate sessions with a search function. The tool integrates with `codegraph` to view Python files and supports various LLM models such as ollama, openai, mistralai, and localai. The project is continuously updated with new features and improvements, such as converting from `flask` to `fastapi`, adding `localai` API support, and upgrading dependencies like `langchain` and `Streamlit` to enhance performance.

Home LLM is a project that provides the necessary components to control your Home Assistant installation with a completely local Large Language Model acting as a personal assistant. The goal is to provide a drop-in solution to be used as a "conversation agent" component by Home Assistant. The 2 main pieces of this solution are Home LLM and Llama Conversation. Home LLM is a fine-tuning of the Phi model series from Microsoft and the StableLM model series from StabilityAI. The model is able to control devices in the user's house as well as perform basic question and answering. The fine-tuning dataset is a custom synthetic dataset designed to teach the model function calling based on the device information in the context. Llama Conversation is a custom component that exposes the locally running LLM as a "conversation agent" in Home Assistant. This component can be interacted with in a few ways: using a chat interface, integrating with Speech-to-Text and Text-to-Speech addons, or running the oobabooga/text-generation-webui project to provide access to the LLM via an API interface.

Smartcat is a CLI interface that brings language models into the Unix ecosystem, allowing power users to leverage the capabilities of LLMs in their daily workflows. It features a minimalist design, seamless integration with terminal and editor workflows, and customizable prompts for specific tasks. Smartcat currently supports OpenAI, Mistral AI, and Anthropic APIs, providing access to a range of language models. With its ability to manipulate file and text streams, integrate with editors, and offer configurable settings, Smartcat empowers users to automate tasks, enhance code quality, and explore creative possibilities.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

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