Best AI tools for< Embed And Search Documents >

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

Dappier is a platform that enables publishers and AI developers to monetize their content by creating branded AI agents and syndicating trusted, rights-cleared data. Users can easily connect their data sources, transform content for AI interaction, and launch custom AI agents for natural search and content recommendations. The platform offers a self-serve fine-tuning platform and a marketplace for syndicating content to AI developers, enabling users to generate new revenue streams. Dappier prioritizes data security and privacy, ensuring that training data is never shared with external parties.

Cohere is the leading AI platform for enterprise, offering products optimized for generative AI, search and discovery, and advanced retrieval. Their models are designed to enhance the global workforce, enabling businesses to thrive in the AI era. Cohere provides Command R+, Cohere Command, Cohere Embed, and Cohere Rerank for building efficient AI-powered applications. The platform also offers deployment options for enterprise-grade AI on any cloud or on-premises, along with developer resources like Playground, LLM University, and Developer Docs.

Cohere is the leading AI platform for enterprise, offering generative AI, search and discovery, and advanced retrieval solutions. Their models are designed to enhance the global workforce, empowering businesses to thrive in the AI era. With features like Cohere Command, Cohere Embed, and Cohere Rerank, the platform enables the development of scalable and efficient AI-powered applications. Cohere focuses on optimizing enterprise data through language-based models, supporting over 100 languages for enhanced accuracy and efficiency.

Twelve Labs is a cutting-edge AI tool that specializes in multimodal video understanding, allowing users to bring human-like video comprehension to any application. The tool enables users to search, generate, and embed video content with state-of-the-art accuracy and scalability. With the ability to handle vast video libraries and provide rich video embeddings, Twelve Labs is a game-changer in the field of video analysis and content creation.

Muse.ai is an all-in-one video platform that provides a suite of tools for video hosting, editing, searching, and monetization. It uses artificial intelligence (AI) to automatically transcribe, index, and label videos, making them easily searchable and discoverable. Muse.ai also offers a customizable video player, analytics, and integrations with other services. It is suitable for a wide range of users, including individuals, teams, businesses, and educational institutions.

Clip.audio is an AI-powered audio search engine that allows users to search for and discover audio clips from a variety of sources, including podcasts, music, and sound effects. The platform uses advanced machine learning algorithms to analyze and index audio content, making it easy for users to find the specific audio clips they are looking for.

ThoughtSpot is an AI-powered analytics platform that enables users to deliver insights 10x faster for their employees. It offers AI-powered search capabilities, natural language search, live querying of data, building search data models, balancing self-service with enterprise-scale control, visualizing business data, operationalizing data sync to business apps, and mobile access. The platform also provides features for creating visualizations from spreadsheets, staying up to date with product news, embedding analytics into apps, building ThoughtSpot apps and API services, and generating more revenue with embedded analytics. ThoughtSpot is designed to provide fast, actionable insights with a focus on user experience and self-service analytics.

Testimonial is an AI-powered tool that helps businesses collect and embed customer testimonials on their website in minutes. It provides an easy-to-use interface that allows users to create beautiful testimonial widgets, customize them to match their brand, and embed them on any web page. Testimonial also offers a range of features to help businesses manage their testimonials, such as the ability to collect testimonials from multiple sources, moderate them before they are published, and track their performance.

Onvo AI is an embedded data visualization platform that allows users to create interactive dashboards and data visualizations using simple AI prompts. It connects to various data sources, enabling users to build insightful charts and visualizations without the need for complex queries or manual data manipulation. Onvo AI offers customization options, allowing users to match their brand's identity and provides secure sharing and embedding features. It also includes analytics capabilities, enabling users to track dashboard usage and user engagement.

OAK is an open-source platform for building and deploying custom AI agents quickly and easily. It offers a modular design, powerful plugins, and seamless integration with various AI models. OAK is scalable, flexible, and developer-friendly, allowing users to create AI agents in minutes without hassle.

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Upsolve AI is a customer-facing analytics service powered by AI that allows businesses to embed dashboard and business intelligence in their products for customers. It manages customer analytics, empowers users with product data insights, and provides out-of-the-box connections to popular databases. With features like building interactive analytics dashboards, creating custom charts, and offering self-service customization, Upsolve AI aims to help businesses make data-driven decisions and communicate values to stakeholders. The platform also offers easy deployment, theme customization, and AI-powered chart exploration for enhanced user experience.

Chetty is an AI tool designed to automate communication through an AI chatbot. It enables users to streamline their interactions by leveraging artificial intelligence technology. With Chetty, users can enhance customer service, automate responses, and engage with customers more efficiently. The tool is user-friendly and offers a seamless experience for businesses looking to optimize their communication processes.

Botmake.io is a simple and clean no-code chatbot creation tool that allows users to create chatbots without any coding experience. With Botmake.io, users can automate repetitive questions, import and export data in CSV format, customize the look and feel of their chatbots, extend their chatbots with apps, and embed their chatbots on their websites. Botmake.io offers a free plan and a premium plan with additional features.

Chatzap is an AI chatbot platform that allows users to create and embed chatbots on their websites. The platform provides a range of features to help users create and customize their chatbots, including the ability to train chatbots on website content or plain text, customize the appearance of the chatbot, and collect leads. Chatzap also offers a range of benefits to users, including increased engagement, 24/7 availability, and cost-effectiveness.

Fermat is an AI toolmaker that allows users to build their own AI workflows and accelerate their creative process. It is trusted by professionals in fashion design, product design, interior design, and brainstorming. Fermat's unique features include the ability to blend AI models into tools that fit the way users work, embed processes in reusable tools, keep teams on the same page, and embed users' own style to get coherent results. With Fermat, users can visualize their sketches, change colors and materials, create photo shoots, turn images into vectors, and more. Fermat offers a free Starter plan for individuals and a Pro plan for teams and professionals.

TypeflowAI is a platform that allows users to create AI tools without coding in minutes. Users can easily build, share, and embed AI tools into their websites to enhance SEO, increase traffic, and generate more leads. The platform offers features such as creating dynamic lead magnets, AI quizzes, calculators, and more, along with customization options to fit users' branding. With flexible pricing plans and integrations with popular apps, TypeflowAI simplifies the process of creating AI tools and lead magnets for businesses and individuals.

HumanEcho is an AI-powered platform offering Custom ChatGPT and Digital Human services for websites. It provides advanced AI technologies to enhance customer experience by offering AI chatbots and lifelike digital personas that can interact with users in real-time. The platform allows users to train the AI on their data, upload documents or website URLs, and embed chatbots easily. With features like next-level customer engagement, easy data integration, accurate answers, 24/7 customer support, and support for 80+ languages, HumanEcho aims to revolutionize customer engagement and support services.

BrainyBear is an AI tool that allows users to easily build and train AI chatbots and intelligent assistants. It offers a quick and accurate solution to customer queries by scanning websites or uploaded files. With BrainyBear, users can create, customize, and embed AI chatbots in just a few steps, without the need for complex training or setups. The tool leverages GPT-based AI technology to provide human-like interactions, multilingual support, and seamless integrations with popular messaging platforms.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

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.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

Ocular is a set of modules and tools that allow you to build rich, reliable, and performant Generative AI-Powered Search Platforms without the need to reinvent Search Architecture. We help you build you spin up customized internal search in days not months.

Vespa is an open-source search and AI engine that provides a unified platform for building and deploying search and AI applications. Vespa sample applications showcase various use cases and features of Vespa, including basic search, recommendation, semantic search, image search, text ranking, e-commerce search, question answering, search-as-you-type, and ML inference serving.

AwaDB is an AI native database designed for embedding vectors. It simplifies database usage by eliminating the need for schema definition and manual indexing. The system ensures real-time search capabilities with millisecond-level latency. Built on 5 years of production experience with Vearch, AwaDB incorporates best practices from the community to offer stability and efficiency. Users can easily add and search for embedded sentences using the provided client libraries or RESTful API.

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.

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.

Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.

chromem-go is an embeddable vector database for Go with a Chroma-like interface and zero third-party dependencies. It enables retrieval augmented generation (RAG) and similar embeddings-based features in Go apps without the need for a separate database. The focus is on simplicity and performance for common use cases, allowing querying of documents with minimal memory allocations. The project is in beta and may introduce breaking changes before v1.0.0.

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AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

LeetTools is an AI search assistant that can perform highly customizable search workflows and generate customized format results based on both web and local knowledge bases. It provides an automated document pipeline for data ingestion, indexing, and storage, allowing users to focus on implementing workflows without worrying about infrastructure. LeetTools can run with minimal resource requirements on the command line with configurable LLM settings and supports different databases for various functions. Users can configure different functions in the same workflow to use different LLM providers and models.

Looking for the perfect Medium.com humanized stylish article made just for you? This GPT uses numerous APIs to find what's trending, what medium articles are currently popular, uses data to write an entire masterpiece along with images, sources, citations, video embeds, etc.