Best AI tools for< Embed Data >

EmbedAI is a platform that enables users to create custom AI chatbots powered by ChatGPT. Users can train the chatbot on their own data and embed it on their website. The platform allows for customization of the chatbot's appearance and supports multiple languages. EmbedAI aims to provide efficient management of information and automated responses to user queries.

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.

Luzmo is a customer-facing analytics platform for SaaS companies. It provides embedded analytics, embedded dashboard editor, and Luzmo AI to help businesses make better decisions with data. Luzmo is easy to use, scalable, and affordable, making it a great choice for businesses of all sizes.

AskYourDatabase is an AI-powered SQL chatbot and generator that allows users to interact with their databases using natural language queries. It offers features such as query generation, data visualization, business intelligence, and works with various databases like PostgreSQL, MySQL, and Oracle. The tool provides high accuracy, self-learning capabilities, fine-grained access control, embeddable widget options, and 24/7 customer support. It is trusted by over 100 companies worldwide and has received positive feedback for its efficiency and insights. AskYourDatabase is suitable for both technical and non-technical users who need to analyze data without complex coding.

Lume AI is an AI-powered platform that revolutionizes data mapping processes for businesses across various industries. It automates data mappings using AI, allowing users to create and edit data pipelines 10x faster by mapping data in seconds. The platform delivers AI functionality to make data mapping work seamless, generating mapping logic in seconds and providing tools to review and edit mapping logic efficiently. Lume AI also offers visibility into mapped data, mapping logic, and other AI decisions, enabling users to maintain their integrations automatically. Users can embed auto-mappers in their code and choose between the powerful API and user-friendly platform to leverage AI for data mapping.

BuildShip.com is a powerful AI Assistant Builder that allows users to create AI Assistant ChatBots in just 5 minutes. The platform enables users to connect to tools and databases without the need for any code, offering full flexibility with low-code options. Users can build AI Assistants using popular models like OpenAI, Claude 3, and Azure, and can easily ship their creations as APIs, chat widgets, workflow, or schedule jobs. The platform also provides secure integration with databases, the ability to generate custom action nodes, and seamless plugin chat widgets for websites. BuildShip.com simplifies the process of building AI Assistants and empowers users to bring their ideas to life effortlessly.

Officely AI is an AI application that offers a platform for users to access and utilize various LLM (Large Language Model) models. Users can let these models interact with each other and integrate seamlessly. The platform provides tools, use cases, channels, and pricing options for users to explore and leverage the power of AI in their processes.

Ultimaps is an AI-powered map visualization tool designed for humans to create color-coded interactive maps in seconds. Users can import data from Excel, Google Spreadsheet, or Notion, or instruct the AI to build a map based on their requirements. The tool allows users to add drawings, change colors and fonts, and easily download, share, or embed the maps. Ultimaps offers features like automatic color-coding based on imported data, customization options, auto-saving of visualizations, and the ability to create interactive maps without any coding. It is a user-friendly platform suitable for various mapping needs.

Thinkstack is a free AI chatbot maker that allows users to create custom chatbots without any coding required. The platform offers a variety of features, including the ability to train your own chatbot, integrate with other tools, and generate leads. Thinkstack's chatbots can be used for a variety of purposes, including customer service, lead generation, and team communications.

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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.

Helix AI is a private GenAI platform that enables users to build AI applications using open source models. The platform offers tools for RAG (Retrieval-Augmented Generation) and fine-tuning, allowing deployment on-premises or in a Virtual Private Cloud (VPC). Users can access curated models, utilize Helix API tools to connect internal and external APIs, embed Helix Assistants into websites/apps for chatbot functionality, write AI application logic in natural language, and benefit from the innovative RAG system for Q&A generation. Additionally, users can fine-tune models for domain-specific needs and deploy securely on Kubernetes or Docker in any cloud environment. Helix Cloud offers free and premium tiers with GPU priority, catering to individuals, students, educators, and companies of varying sizes.

QuestWiz is an AI-powered customer support agent designed for small and medium-sized businesses. It provides a personalized AI assistant that learns from your website and files to become an expert on your business within minutes. The tool enables you to instantly answer visitor's questions 24/7 without the need for AI or coding expertise. QuestWiz allows you to create a unique AI chatbot that matches your business branding and provides spot-on answers with your brand's personality. It helps automate common customer questions, offers self-service options, and ensures your customers receive assistance round the clock.

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.

EmbedAI is an AI tool designed to enhance websites by enabling JavaScript functionalities. It allows users to embed AI-powered features seamlessly into their web pages, enhancing user experience and interactivity. With EmbedAI, website owners can easily integrate advanced AI capabilities without the need for extensive coding knowledge. The tool streamlines the process of incorporating AI elements, making it accessible to a wider range of users.

KaraboAI is a platform that allows users to create custom AI chatbots for their website. The platform offers a variety of chatbot templates to choose from, and users can also create their own chatbots from scratch. KaraboAI chatbots can be used for a variety of purposes, including customer service, lead generation, and data collection. The platform also offers a range of integrations with other software and services, making it easy to connect your chatbot to your existing workflow.

Knowledgio is a no-code platform that allows users to easily build custom AI tools for agencies. It helps transform expertise into unique AI solutions, saving up to 70% of time with highly personalized tools. Users can create their AI workspace, embed knowledge without coding, share and monetize their tools, and collaborate in real-time with friends and coworkers. The platform offers an easy-to-use interface, dedicated support, automated distribution, and the ability to upload knowledge files and entities. Knowledgio aims to simplify the process of building AI tools and make it accessible even for non-technical users.

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.

Documate is an open-source tool designed to make your documentation site intelligent by embedding AI chat dialogues. It allows users to ask questions based on the content of the site and receive relevant answers. The tool offers hassle-free integration with popular doc site platforms like VitePress, Docusaurus, and Docsify, without requiring AI or LLM knowledge. Users have full control over the code and data, enabling them to choose which content to index. Documate also provides a customizable UI to meet specific needs, all while being developed with care by AirCode.

Doctrine is an AI-powered application that allows users to add AI-powered Q&A features to their apps in minutes. It leverages knowledge from data or knowledge bases to answer user questions or embed AI features. With the ability to ingest content from various sources like websites, documents, and images, Doctrine simplifies the process of knowledge extraction and enables seamless integration of AI capabilities into applications.

Chroma is an open-source embedding database that provides a simple, scalable, and feature-rich way to build Python or JavaScript LLM apps with memory. It offers a fully-typed, fully-tested, and fully-documented API that makes it easy to get started and scale your applications. Chroma also integrates with popular tools like LangChain and LlamaIndex, and supports a variety of embedding models, including Sentence Transformers, OpenAI embeddings, and Cohere embeddings. With Chroma, you can easily add documents to your database, query relevant documents with natural language, and compose documents into the context window of an LLM like GPT3 for additional summarization or analysis.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

Redis Vector Library (RedisVL) is a Python client library for building AI applications on top of Redis. It provides a high-level interface for managing vector indexes, performing vector search, and integrating with popular embedding models and providers. RedisVL is designed to make it easy for developers to build and deploy AI applications that leverage the speed, flexibility, and reliability of Redis.

RAFT (Retrieval-Augmented Fine-Tuning) is a method for creating conversational agents that realistically emulate specific human targets. It involves a dual-phase process of fine-tuning and retrieval-based augmentation to generate nuanced and personalized dialogue. The tool is designed to combine interview transcripts with memories from past writings to enhance language model responses. RAFT has the potential to advance the field of personalized, context-sensitive conversational agents.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

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.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

Verbis AI is a secure and fully local AI assistant for MacOS that indexes data from various SaaS applications securely on the user's system. It provides a single interface powered by GenAI models to query and manage information. Users can connect Verbis to apps like Google Drive, Outlook, Gmail, and Slack, and use it as a chatbot to search across their data without data leaving their device. The tool is powered by Ollama and Weaviate, utilizing models like Mistral 7B, ms-marco-MiniLM-L-12-v2, and nomic-embed-text. Verbis AI requires Apple Silicon Mac (m1+) and has minimal system resource utilization requirements.

Chroma is an open-source embedding database that simplifies building LLM apps by enabling the integration of knowledge, facts, and skills for LLMs. The Ruby client for Chroma Database, chroma-rb, facilitates connecting to Chroma's database via its API. Users can configure the host, check server version, create collections, and add embeddings. The gem supports Chroma Database version 0.3.22 or newer, requiring Ruby 3.1.4 or later. It can be used with the hosted Chroma service at trychroma.com by setting configuration options like api_key, tenant, and database. Additionally, the gem provides integration with Jupyter Notebook for creating embeddings using Ollama and Nomic embed text with a Ruby HTTP client.

gemini-cli is a versatile command-line interface for Google's Gemini LLMs, written in Go. It includes tools for chatting with models, generating/comparing embeddings, and storing data in SQLite for analysis. Users can interact with Gemini models through various subcommands like prompt, chat, counttok, embed content, embed db, and embed similar.

This NVIDIA AI Workbench project is designed for developing a Retrieval Augmented Generation application with a customizable Gradio Chat app. It allows users to embed documents into a locally running vector database and run inference locally on a Hugging Face TGI server, in the cloud using NVIDIA inference endpoints, or using microservices via NVIDIA Inference Microservices (NIMs). The project supports various models with different quantization options and provides tutorials for using different inference modes. Users can troubleshoot issues, customize the Gradio app, and access advanced tutorials for specific tasks.

Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. It is developed under the MIT License and powers inference behind Gradient.ai. The API allows users to deploy models from SentenceTransformers, offers fast inference backends utilizing various accelerators, dynamic batching for efficient processing, correct and tested implementation, and easy-to-use API built on FastAPI with Swagger documentation. Users can embed text, rerank documents, and perform text classification tasks using the tool. Infinity supports various models from Huggingface and provides flexibility in deployment via CLI, Docker, Python API, and cloud services like dstack. The tool is suitable for tasks like embedding, reranking, and text classification.

VectorFlow is an open source, high throughput, fault tolerant vector embedding pipeline. It provides a simple API endpoint for ingesting large volumes of raw data, processing, and storing or returning the vectors quickly and reliably. The tool supports text-based files like TXT, PDF, HTML, and DOCX, and can be run locally with Kubernetes in production. VectorFlow offers functionalities like embedding documents, running chunking schemas, custom chunking, and integrating with vector databases like Pinecone, Qdrant, and Weaviate. It enforces a standardized schema for uploading data to a vector store and supports features like raw embeddings webhook, chunk validation webhook, S3 endpoint, and telemetry. The tool can be used with the Python client and provides detailed instructions for running and testing the functionalities.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

PostgresML is a powerful Postgres extension that seamlessly combines data storage and machine learning inference within your database. It enables running machine learning and AI operations directly within PostgreSQL, leveraging GPU acceleration for faster computations, integrating state-of-the-art large language models, providing built-in functions for text processing, enabling efficient similarity search, offering diverse ML algorithms, ensuring high performance, scalability, and security, supporting a wide range of NLP tasks, and seamlessly integrating with existing PostgreSQL tools and client libraries.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

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