Best AI tools for< Manage Embeddings >

DVC is an open-source platform for managing machine learning data and experiments. It provides a unified interface for working with data from various sources, including local files, cloud storage, and databases. DVC also includes tools for versioning data and experiments, tracking metrics, and automating compute resources. DVC is designed to make it easy for data scientists and machine learning engineers to collaborate on projects and share their work with others.

Singlebase.cloud is an AI-powered platform that serves as an alternative to Firebase and Supabase. It offers a comprehensive suite of tools and services to facilitate faster development and deployment through a unified API. The platform includes features such as Vector Database, NoSQL Database, Vector Embeddings, Generative AI, RAG, Knowledge Base, File storage, and Authentication, catering to a wide range of development needs.

Tecton is an AI data platform that helps build smarter AI applications by simplifying feature engineering, generating training data, serving real-time data, and enhancing AI models with context-rich prompts. It automates data pipelines, improves model accuracy, and lowers production costs, enabling faster deployment of AI models. Tecton abstracts away data complexity, provides a developer-friendly experience, and allows users to create features from any source. Trusted by top engineering teams, Tecton streamlines ML delivery processes, improves customer interactions, and automates release processes through CI/CD pipelines.

Context Data is an enterprise data platform designed for Generative AI applications. It enables organizations to build AI apps without the need to manage vector databases, pipelines, and infrastructure. The platform empowers AI teams to create mission-critical applications by simplifying the process of building and managing complex workflows. Context Data also provides real-time data processing capabilities and seamless vector data processing. It offers features such as data catalog ontology, semantic transformations, and the ability to connect to major vector databases. The platform is ideal for industries like financial services, healthcare, real estate, and shipping & supply chain.

StartKit.AI is a boilerplate code for AI products that helps users build their AI startups 100x faster. It includes pre-built REST API routes for all common AI functionality, a pre-configured Pinecone for text embeddings and Retrieval-Augmented Generation (RAG) for chat endpoints, and five React demo apps to help users get started quickly. StartKit.AI also provides a license key and magic link authentication, user & API limit management, and full documentation for all its code. Additionally, users get access to guides to help them get set up and one year of updates.

Legitt AI is an AI-powered Contract Lifecycle Management platform that offers a comprehensive solution for managing contracts at scale. It combines automation and intelligence to revolutionize contract management, ensuring efficiency, accuracy, and compliance with legal standards. The platform streamlines contract creation, signing, tracking, and management processes by embedding intelligence in every step. Legitt AI enhances contract review processes, contract tracking, and contract intelligence at scale, providing users with insights, recommendations, and automated workflows. With robust security measures, scalable infrastructure, and integrations with popular business tools, Legitt AI empowers businesses to manage contracts with precision and efficiency.

Gista is an AI-powered conversion agent that helps businesses turn more website visitors into leads. It is equipped with knowledge about your products and services and can offer value props, build an email list, and more. Gista is easy to set up and use, and it integrates with your favorite platforms.

Superlinked is a compute framework for your information retrieval and feature engineering systems, focused on turning complex data into vector embeddings. Vectors power most of what you already do online - hailing a cab, finding a funny video, getting a date, scrolling through a feed or paying with a tap. And yet, building production systems powered by vectors is still too hard! Our goal is to help enterprises put vectors at the center of their data & compute infrastructure, to build smarter and more reliable software.

Jina AI is a company that provides multimodal AI solutions for businesses and developers. Their products include embeddings, rerankers, and prompt engineering tools. Jina AI's mission is to make AI accessible and easy to use for everyone.

GPT AI Power is a comprehensive AI plugin for WordPress that uses advanced technologies like GPT-3.5, GPT-4, and DaVinci to generate customizable content, images, forms, and more. Its features include an AI-powered Content Writer, Image Generator, ChatGPT for chatbot creation, WooCommerce integration, Embeddings, and more. With AI Power, you can optimize your content for search engines, experiment with GPT models using the Playground, and take advantage of its support for 40 languages.

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.

Kumo is an AI-powered platform that helps businesses personalize customer experiences, acquire new customers, understand customer behavior, improve planning and monitoring, resolve data inconsistencies, fight fraud and abuse, detect money laundering, and empower data scientists with advanced techniques. It offers cutting-edge solutions for various AI and machine learning tasks, such as predictive modeling, anomaly detection, entity resolution, and graph embeddings. Kumo's capabilities are designed to enhance customer interactions, optimize marketing campaigns, and provide valuable insights for businesses across different industries.

Chunky is an AI chatbot builder that allows users to create human-like chatbots effortlessly. With Chunky, users can automate customer support, answer frequently asked questions, and save time by setting up their own AI-powered bot in just a few minutes. The platform offers a user-friendly experience with no coding required, integrated chatbot deployment on websites, and customization options for branding. Chunky utilizes the ChatGPT API and Embeddings provided by OpenAI to deliver smart chatbot interactions in close to 95 languages.

OvationCXM is a Customer Experience Management (CXM) platform that helps businesses manage customer journeys, ecosystems, and AI. It provides tools to orchestrate customer relationships from beginning to end, connecting partners and AI to deliver smooth, AI-powered customer journeys. The platform offers features like designing and managing customer journeys in real-time, guiding CX across multiple providers, and embedding intelligence and automation. OvationCXM is used across various industries like Financial Services, Tech & Telecom, Healthcare, and Retail to drive deposits, retention, revenue, and personalized shopper experiences at scale.

Kopage is a white-label AI website builder that allows users to create fully-featured websites for their clients in just 30 seconds or less. The platform offers an intuitive interface with drag-and-drop functionality, making website creation a breeze. With built-in SEO features, e-commerce capabilities, blog integration, and more, Kopage provides everything needed to launch a professional website. Users can easily customize their sites with hundreds of design options, including Google Fonts and color schemes. Additionally, Kopage offers advanced features such as private spaces, custom code embedding, analytics tracking, and multi-level menu structures.

BookBot is an AI application that revolutionizes the way authors, students, readers, and publishers interact with books. It provides a platform for users to create their own library of AI books, offering features like easy signup, file upload, and custom site embedding. BookBot simplifies the process of creating and publishing personalized bookbots, making it accessible for users to enjoy and share their favorite books in various formats.

Kinaxis is an AI-infused supply chain orchestration platform that helps businesses master uncertainty and improve performance across their end-to-end supply chain. It delivers fast, intelligent, and proactive decision-making by embedding AI across the supply chain to connect data, align processes, automate actions, and learn from outcomes. Kinaxis offers solutions for supply chain orchestration, control tower, S&OP, demand planning, supply planning, inventory management, scheduling, order management, transportation, and returns management. The platform provides seamless synchronization, smart scenario modeling, adaptability, productivity enhancement, and comprehensive visibility into the supply chain.

Respell is an advanced Agentic AI Workflow platform that offers automation for powerful workflows by leveraging cutting-edge AI models from various providers. It provides custom-built agents for research, phone calls, integrations, and more. Users can connect Respell with popular platforms like Gmail, Notion, Slack, Airtable, Salesforce, and more to analyze, understand, and act on data for smarter decision-making. The platform ensures enterprise security with SOC II compliance and offers a human-in-the-loop feature for running Spells, embedding them into dashboards, scheduling runs, or calling them via API. Respell is designed to help teams move faster, make fewer mistakes, and optimize operational workflows for enhanced efficiency.

GPTBots.ai is a powerful no-code platform for creating AI-driven business applications. It seamlessly integrates large language models with organizational data, services, and workflows to empower AI bots in driving business growth. The platform allows users to build and train AI bots without coding experience, access best-practice AI bot templates, optimize and customize AI knowledge base, and adapt to various scenarios with intelligent agent bots. GPTBots supports diverse input types, offers versatile language models, enables seamless chatbot-human handoff, and provides robust API and SDK for embedding capabilities into products. Trusted by over 100k companies worldwide, GPTBots helps enterprises enhance customer service, leads generation, SEO writing, data analysis, and more.

Vectorize is a fast, accurate, and production-ready AI tool that helps users turn unstructured data into optimized vector search indexes. It leverages Large Language Models (LLMs) to create copilots and enhance customer experiences by extracting natural language from various sources. With built-in support for top AI platforms and a variety of embedding models and chunking strategies, Vectorize enables users to deploy real-time vector pipelines for accurate search results. The tool also offers out-of-the-box connectors to popular knowledge repositories and collaboration platforms, making it easy to transform knowledge into AI-generated content.

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings. The key features of LanceDB include: Production-scale vector search with no servers to manage. Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more). Support for vector similarity search, full-text search, and SQL. Native Python and Javascript/Typescript support. Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index(*). Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB, and more on the way. LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.

This repository is a rich resource offering examples of synthetic image generation, manipulation, and reasoning using Azure Machine Learning, Computer Vision, OpenAI, and open-source frameworks like Stable Diffusion. It provides practical insights into image processing applications, including content generation, video analysis, avatar creation, and image manipulation with various tools and APIs.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.

Nile is a serverless Postgres database designed for modern SaaS applications. It virtualizes tenants/customers/organizations into Postgres to enable native tenant data isolation, performance isolation, per-tenant backups, and tenant placement on shared or dedicated compute globally. With Nile, you can manage multiple tenants effortlessly, without complex permissions or buggy scripts. Additionally, it offers opt-in user management capabilities, customer-specific vector embeddings, and instant tenant admin dashboards. Built for the cloud, Nile provides a true serverless experience with effortless scaling.

OpenContracts is an Apache-2 licensed enterprise document analytics tool that supports multiple formats, including PDF and txt-based formats. It features multiple document ingestion pipelines with a pluggable architecture for easy format and ingestion engine support. Users can create custom document analytics tools with beautiful result displays, support mass document data extraction with a LlamaIndex wrapper, and manage document collections, layout parsing, automatic vector embeddings, and human annotation. The tool also offers pluggable parsing pipelines, human annotation interface, LlamaIndex integration, data extraction capabilities, and custom data extract pipelines for bulk document querying.

JamAI Base is an open-source platform integrating SQLite and LanceDB databases with managed memory and RAG capabilities. It offers built-in LLM, vector embeddings, and reranker orchestration accessible through a spreadsheet-like UI and REST API. Users can transform static tables into dynamic entities, facilitate real-time interactions, manage structured data, and simplify chatbot development. The tool focuses on ease of use, scalability, flexibility, declarative paradigm, and innovative RAG techniques, making complex data operations accessible to users with varying technical expertise.

MetaAgent is a multi-agent collaboration platform designed to build, manage, and deploy multi-modal AI agents without the need for coding. Users can easily create AI agents by editing a yml file or using the provided UI. The platform supports features such as building LLM-based AI agents, multi-modal interactions with users using texts, audios, images, and videos, creating a company of agents for complex tasks like drawing comics, vector database and knowledge embeddings, and upcoming features like UI for creating and using AI agents, fine-tuning, and RLHF. The tool simplifies the process of creating and deploying AI agents for various tasks.

LLamaWorker is a HTTP API server developed to provide an OpenAI-compatible API for integrating Large Language Models (LLM) into applications. It supports multi-model configuration, streaming responses, text embedding, chat templates, automatic model release, function calls, API key authentication, and test UI. Users can switch models, complete chats and prompts, manage chat history, and generate tokens through the test UI. Additionally, LLamaWorker offers a Vulkan compiled version for download and provides function call templates for testing. The tool supports various backends and provides API endpoints for chat completion, prompt completion, embeddings, model information, model configuration, and model switching. A Gradio UI demo is also available for testing.

RLAMA is a powerful AI-driven question-answering tool that seamlessly integrates with local Ollama models. It enables users to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to their documentation needs. RLAMA follows a clean architecture pattern with clear separation of concerns, focusing on lightweight and portable RAG capabilities with minimal dependencies. The tool processes documents, generates embeddings, stores RAG systems locally, and provides contextually-informed responses to user queries. Supported document formats include text, code, and various document types, with troubleshooting steps available for common issues like Ollama accessibility, text extraction problems, and relevance of answers.

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.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

LangDB AI Gateway is an open-source enterprise AI gateway built in Rust. It provides a unified interface to all LLMs using the OpenAI API format, focusing on high performance, enterprise readiness, and data control. The gateway offers features like comprehensive usage analytics, cost tracking, rate limiting, data ownership, and detailed logging. It supports various LLM providers and provides OpenAI-compatible endpoints for chat completions, model listing, embeddings generation, and image generation. Users can configure advanced settings, such as rate limiting, cost control, dynamic model routing, and observability with OpenTelemetry tracing. The gateway can be run with Docker Compose and integrated with MCP tools for server communication.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

The Mistral Python Client is a tool inspired by cohere-python that allows users to interact with the Mistral AI API. It provides functionalities to access and utilize the AI capabilities offered by Mistral. Users can easily install the client using pip and manage dependencies using poetry. The client includes examples demonstrating how to use the API for various tasks, such as chat interactions. To get started, users need to obtain a Mistral API Key and set it as an environment variable. Overall, the Mistral Python Client simplifies the integration of Mistral AI services into Python applications.

AnnA is a Python script designed to create filtered decks in optimal review order for Anki flashcards. It uses Machine Learning / AI to ensure semantically linked cards are reviewed far apart. The script helps users manage their daily reviews by creating special filtered decks that prioritize reviewing cards that are most different from the rest. It also allows users to reduce the number of daily reviews while increasing retention and automatically identifies semantic neighbors for each note.

The discourse-chatbot is an original AI chatbot for Discourse forums that allows users to converse with the bot in posts or chat channels. Users can customize the character of the bot, enable RAG mode for expert answers, search Wikipedia, news, and Google, provide market data, perform accurate math calculations, and experiment with vision support. The bot uses cutting-edge Open AI API and supports Azure and proxy server connections. It includes a quota system for access management and can be used in RAG mode or basic bot mode. The setup involves creating embeddings to make the bot aware of forum content and setting up bot access permissions based on trust levels. Users must obtain an API token from Open AI and configure group quotas to interact with the bot. The plugin is extensible to support other cloud bots and content search beyond the provided set.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

LM Studio Client SDK lmstudio-ts is LM Studio's official JavaScript/TypeScript client SDK. It allows you to use LLMs to respond in chats or predict text completions, define functions as tools, and turn LLMs into autonomous agents that run completely locally, load, configure, and unload models from memory, supports both browser and any Node-compatible environments, generate embeddings for text, and more! Why use `lmstudio-js` over `openai` sdk? Open AI's SDK is designed to use with Open AI's proprietary models. As such, it is missing many features that are essential for using LLMs in a local environment, such as managing loading and unloading models from memory, configuring load parameters (context length, gpu offload settings, etc.), speculative decoding, getting information (such as context length, model size, etc.) about a model, and more. In addition, while `openai` sdk is automatically generated, `lmstudio-js` is designed from ground-up to be clean and easy to use for TypeScript/JavaScript developers.

Polyfire is an all-in-one managed backend for AI apps that allows users to build AI applications directly from the frontend, eliminating the need for a separate backend. It simplifies the process by providing most backend services in just a few lines of code. With Polyfire, users can easily create chatbots, transcribe audio files, generate simple text, manage long-term memory, and generate images. The tool also offers starter guides and tutorials to help users get started quickly and efficiently.

Dietician that helps those with IBS manage their symptoms via FODMAPs. FODMAP stands for fermentable oligosaccharides, disaccharides, monosaccharides and polyols. These are the chemical names of 5 naturally occurring sugars that are not well absorbed by your small intestine.

Provides cognitive-behavioral and emotional therapy guidance, helping users understand and manage their thoughts, behaviors, and emotions.

Cross-cultural management. Useful for those who relocate to another country or manage cross-cultural teams.

I manage finances securely with encryption and user authentication.

Expert project manager, I can help you manage IT projects

Helps developers manage state using StateAdapt

Recognize, manage, cope. Works well with GPT-Voice.

how to manage spinal stenosis to avoid back surgery by M.D

I manage your grocery lists to help you stay organized. *1/ Tell me what to add to a list. 2/ Ask me to add all ingredients for a receipe. 3/ Upload a receipt to remove items from your lists 4/ Add an item by simply uploading a picture. 5/ Ask me what items I would recommend you add to your lists.*

Helps create and manage local clubs based on shared interests.

Helps users manage and preserve family heirlooms with empathy and practical advice.

Use me to manage your contents.

Give me your syptoms and I will provide instructions for how to manage your illness.

Your AI Google Slides assistant! Effortlessly locate, manage, and summarize your presentations!

A simulation game where players learn grow medicinal plants, craft remedies, and manage a herbal healing garden. Another AI Tiny Game by Dave Lalande

💡 Tips and guidance to buy, sell, and manage BitCoins, Ether , and more for transactions under $50.

As the Divine Apple II, I defy Moore's Law in this darkly humorous game where you, as God, manage global prayers, navigate celestial politics, and accept that omnipotence can't please everyone.

Professional AI for managing and troubleshooting digital assets.

Aids couples in managing joint finances, budgeting for future goals, and navigating financial challenges together.

A God Simulator GPT, facilitating world creation and managing random events.