Best AI tools for< Support Various Rag Models >

Trieve is an AI-first infrastructure API that offers a comprehensive solution for search, recommendations, and RAG (retrieval-augmented generation). It combines advanced language models with tools for fine-tuning ranking and relevance, providing users with an all-in-one platform for enhancing search experiences across various categories. Trieve supports semantic vector search, full-text search using BM25 & SPLADE models, and hybrid search capabilities. The platform also enables users to tune and boost search results, manage ingestion and analytics effortlessly, and build unfair competitive advantages through search, discovery, and RAG experiences.

Motific.ai is a responsible GenAI tool powered by data at scale. It offers a fully managed service with natural language compliance and security guardrails, an intelligence service, and an enterprise data-powered, end-to-end retrieval augmented generation (RAG) service. Users can rapidly deliver trustworthy GenAI assistants and API endpoints, configure assistants with organization's data, optimize performance, and connect with top GenAI model providers. Motific.ai enables users to create custom knowledge bases, connect to various data sources, and ensure responsible AI practices. It supports English language only and offers insights on usage, time savings, and model optimization.

Graphlogic.ai is an AI-powered platform that offers Conversational AI solutions through text and voice bots. It provides partner-enabled services for various industries, including HR, customer support, marketing, and internal task management. The platform features AI-powered chatbots with goal-oriented NLU and rule-based bots, seamless integrations with CRM systems, and 24/7 omnichannel availability. Graphlogic.ai aims to transform and speed up customer service and FAQ conversations by providing instant replies in a human-like manner. It also offers dedicated HR manager bots, hiring assistants for mass recruitment, responsible managers for internal tasks, and outbound marketing coordinators.

novita.ai is an AI-assisted tool designed to aid developers in code generation tasks. It offers a state-of-the-art large language model, Code Llama, which provides intelligent recommendations and transforms the coding experience. The platform leverages advancements in machine learning to enhance developers' productivity and accuracy in writing error-free code.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

Figure is a pioneering AI robotics company that is revolutionizing the industry by introducing a general-purpose humanoid robot to the market. The company is focused on giving artificial intelligence a physical body and integrating learning robots into the global workforce. By taking an AI-first approach, Figure aims to enhance human capabilities, address labor shortages, and improve workplace safety. The humanoid robot, Figure 02, combines human-like dexterity with cutting-edge AI technology to support various industries such as manufacturing, logistics, warehousing, and retail.

Corti is an AI platform that provides advanced capabilities for patient consultations. It offers features such as Co-Pilot, a proactive AI scribe and assistant for clinicians, and Mission Control, an AI-powered conversation recorder. Corti's AI tools support various healthcare tasks, including high precision procedure and diagnosis coding, context-aware assistants for clinicians, and support for multiple languages in speech and text. The platform is trusted by major hospitals and healthcare providers worldwide.

PandaRocket is an AI-powered suite designed to support various eCommerce business models. It offers a range of tools for product research, content creation, and store management. With features like market analysis, customer segmentation, and predictive intelligence, PandaRocket helps users make data-driven decisions to optimize their online stores and maximize profits.

Nebius AI is an AI-centric cloud platform designed to handle intensive workloads efficiently. It offers a range of advanced features to support various AI applications and projects. The platform ensures high performance and security for users, enabling them to leverage AI technology effectively in their work. With Nebius AI, users can access cutting-edge AI tools and resources to enhance their projects and streamline their workflows.

Strut is a complete writing workspace that combines notes, documents, and writing projects in collaborative workspaces supported by AI. It helps users capture notes, organize projects, and collaborate with their team alongside AI to keep the writing process moving forward. Strut offers deep focus modes, project workspaces, writing inbox, drag & drop functionality, and AI workflows for brainstorming ideas, generating outlines, and more. The AI collaborator in Strut provides suggestions, edits, research, and inspiration, acting as a writing partner to support various writing tasks.

KBY-AI is an advanced Identity Verification SDK provider offering powerful solutions for Face Recognition, Face Liveness Detection, and ID Card Recognition. Their cutting-edge AI technology ensures foolproof protection without disrupting the user's flow. The SDKs are designed to be lightweight, highly effective, and ideal for commercial applications like KYC automation, time and attendance systems, and video surveillance. KBY-AI's solutions support various ID documents from 200+ countries and are compatible with Android, iOS, and web platforms.

Astro System is an AI-powered automation platform that revolutionizes customer support by merging AI email assistance, help desk services, and AI-driven dispute resolution. It enables businesses to minimize expenses, uplift support staff, and ensure customer contentment through sophisticated AI responses and personalized interactions.

The Free Online AI Therapist Chatbot is an AI application designed to provide mental health support and personalized therapy services to individuals. Users can access the chatbot 24/7 for free and receive support from various types of therapists, including trauma recovery therapists, mindfulness coaches, DBT therapists, addiction counselors, anxiety therapists, grief counselors, wellness coaches, career coaches, CBT therapists, relationship counselors, solution-focused therapists, and empathetic listeners.

Questgen is an AI-powered quiz generator that allows users to create various types of assessments such as Multiple Choice Questions (MCQs), True/False questions, Fill-in-the-blanks, Higher-Order Questions, Match-the-following Questions, and Bloom's Taxonomy quizzes. Users can input text in any language or via URL, choose the type of quiz questions to be generated, edit the questions, and export them in multiple formats like PDF, QTI, Moodle XML, CSV, and more. It caters to teachers, learners, HR teams, and schools to generate assessments at scale, saving time and effort. Questgen offers features like support for various quiz types, study mode for students, Bloom's Taxonomy level question generation, image to quiz generator, and more.

AllChat is an intelligent conversational AI assistant designed to enhance user interactions and streamline communication processes. It leverages advanced AI algorithms to provide personalized assistance and support in various tasks. With its intuitive interface, AllChat aims to revolutionize the way users engage with technology, offering a seamless and efficient experience. Whether it's answering queries, scheduling appointments, or managing tasks, AllChat is your go-to virtual assistant for all your needs.

ChatMasters is an AI-powered bot-assistant application designed to enhance user experience and streamline communication processes. It leverages artificial intelligence technology to provide automated responses and support in various tasks. With ChatMasters, users can easily interact with a virtual assistant to get information, resolve queries, and perform actions efficiently. The application aims to improve customer service, increase productivity, and offer a seamless chat experience for users.

Moshi AI is a new voice assistant with advanced vocal capabilities that simulate human-like conversations. It can be used as a personal coach or companion, providing guidance and support in various scenarios. Moshi AI offers real-time voice interaction, efficient multimodal processing, and enhanced privacy and security features. The application is designed to enhance business operations, improve customer interactions, and streamline decision-making processes.

Socratic is an AI-powered learning tool that provides students with personalized support in various subjects, including Science, Math, Literature, and Social Studies. It utilizes text and speech recognition to surface relevant learning resources and offers visual explanations of important concepts. Socratic is highly regarded by both teachers and students for its ability to clarify complex topics and supplement classroom learning.

crewAI is a platform for Multi AI Agents Systems that offers a user-friendly framework for automating workflows with AI agents. It simplifies the process of building and deploying multi-agent automations, providing support for various AI models and templates. With a focus on privacy and security, crewAI ensures that each agent runs in isolated environments. The platform is suitable for enterprises and developers looking to leverage AI technologies effectively.

ChatDocuments is an AI-powered document interaction tool that enables users to transform their documents into interactive chats. With support for various file formats like PDF, PPTX, XLSX, and DOCX, users can easily chat with their documents in multiple languages. The application offers AI-powered features for easy and secure document interaction, making it a convenient tool for students, recruiters, lawyers, and anyone looking to enhance their document collaboration experience.

RAG-Retrieval provides full-chain RAG retrieval fine-tuning and inference code. It supports fine-tuning any open-source RAG retrieval models, including vector (embedding, graph a), delayed interactive models (ColBERT, graph d), interactive models (cross encoder, graph c). For inference, RAG-Retrieval focuses on ranking (reranker) and has developed a lightweight Python library rag-retrieval, providing a unified way to call any different RAG ranking models.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of Retrieval-Augmented Generation (RAG) systems. It simplifies the process with automated integration, customizable evaluation metrics, and support for various Large Language Models (LLMs) tailored to specific needs. The aim is to reduce LLM hallucination risks and enhance reliability.

Spring AI Alibaba is an AI application framework for Java developers that seamlessly integrates with Alibaba Cloud QWen LLM services and cloud-native infrastructures. It provides features like support for various AI models, high-level AI agent abstraction, function calling, and RAG support. The framework aims to simplify the development, evaluation, deployment, and observability of AI native Java applications. It offers open-source framework and ecosystem integrations to support features like prompt template management, event-driven AI applications, and more.

The AI21 Labs Python SDK is a comprehensive tool for interacting with the AI21 API. It provides functionalities for chat completions, conversational RAG, token counting, error handling, and support for various cloud providers like AWS, Azure, and Vertex. The SDK offers both synchronous and asynchronous usage, along with detailed examples and documentation. Users can quickly get started with the SDK to leverage AI21's powerful models for various natural language processing tasks.

The AI Tutor RAG System repository contains Jupyter notebooks supporting the RAG course, focusing on enhancing AI models with retrieval-based methods. It covers foundational and advanced concepts in retrieval-augmented generation, including data retrieval techniques, model integration with retrieval systems, and practical applications of RAG in real-world scenarios.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

RAGLAB is a modular, research-oriented open-source framework for Retrieval-Augmented Generation (RAG) algorithms. It offers reproductions of 6 existing RAG algorithms and a comprehensive evaluation system with 10 benchmark datasets, enabling fair comparisons between RAG algorithms and easy expansion for efficient development of new algorithms, datasets, and evaluation metrics. The framework supports the entire RAG pipeline, provides advanced algorithm implementations, fair comparison platform, efficient retriever client, versatile generator support, and flexible instruction lab. It also includes features like Interact Mode for quick understanding of algorithms and Evaluation Mode for reproducing paper results and scientific research.

ModelScope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: - **Simple Agent Implementation Process**: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. - **Rich models and tools**: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as **code interpreter**, **weather query**, **text to image**, **web browsing**, etc., make it easy to customize exclusive agents. - **Unified interface and high scalability**: The framework has clear tools and LLM registration mechanism, making it convenient for users to expand more diverse Agent applications. - **Low coupling**: Developers can easily use built-in tools, LLM, memory, and other components without the need to bind higher-level agents.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

ServerlessLLM is a fast, affordable, and easy-to-use library designed for multi-LLM serving, optimized for environments with limited GPU resources. It supports loading various leading LLM inference libraries, achieving fast load times, and reducing model switching overhead. The library facilitates easy deployment via Ray Cluster and Kubernetes, integrates with the OpenAI Query API, and is actively maintained by contributors.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

LLMClient is a JavaScript/TypeScript library that simplifies working with large language models (LLMs) by providing an easy-to-use interface for building and composing efficient prompts using prompt signatures. These signatures enable the automatic generation of typed prompts, allowing developers to leverage advanced capabilities like reasoning, function calling, RAG, ReAcT, and Chain of Thought. The library supports various LLMs and vector databases, making it a versatile tool for a wide range of applications.

This is a super customizable, concise, user-friendly, and efficient toolkit for training and aligning LLMs. It provides support for various methods such as SFT, Distillation, DPO, ORPO, CPO, SimPO, SMPO, Non-pair Reward Modeling, Special prompts basket format, Rejection Sampling, Scoring using RM, Effective FAISS Map-Reduce Deduplication, LLM scoring using RM, NER, CLIP, Classification, and STS. The toolkit offers key libraries like PyTorch, Transformers, TRL, Accelerate, FSDP, DeepSpeed, and tools for result logging with wandb or clearml. It allows mixing datasets, generation and logging in wandb/clearml, vLLM batched generation, and aligns models using the SMPO method.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

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