Best AI tools for< Store Vector Data >

SvectorDB is a vector database built from the ground up for serverless applications. It is designed to be highly scalable, performant, and easy to use. SvectorDB can be used for a variety of applications, including recommendation engines, document search, and image search.

Infrabase.ai is a directory of AI infrastructure products that helps users discover and explore a wide range of tools for building world-class AI products. The platform offers a comprehensive directory of products in categories such as Vector databases, Prompt engineering, Observability & Analytics, Inference APIs, Frameworks & Stacks, Fine-tuning, Audio, and Agents. Users can find tools for tasks like data storage, model development, performance monitoring, and more, making it a valuable resource for AI projects.

Corel Vector is a web-based vector graphics application designed for hobbyists and aspiring professionals. It offers a user-friendly interface, intuitive tools, and unlimited cloud storage, making it accessible and convenient for users to create and store their designs. With its powerful vector editing capabilities, support for various file formats, and compatibility with touch devices, Corel Vector empowers users to design on any device, anytime, anywhere.

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.

Tiempo is an AI companion designed to enhance productivity by helping users stay focused and avoid distractions while browsing online. Founded by former Facebook employees Victor and Vlad, Tiempo uses AI technology to evaluate browsing content in real-time, block distracting websites, and redirect attention to productive tasks. The tool provides a focus score based on browsing behavior and offers alerts when users deviate from their set goals. Tiempo aims to reclaim computers and phones as tools for productivity enhancement, making every online minute count.

The Google Store is the official online store for Google-made devices and accessories. It offers a wide range of products, including phones, earbuds, watches, trackers, smart home devices, and accessories. The store also provides helpful resources, such as product reviews, tutorials, and support. The Google Store is a great place to find the latest Google products and accessories, and to get help with your devices.

The website appears to be experiencing technical difficulties as the store is currently unavailable. Users encountering this message may be unable to access the products or services offered by the store. The error message suggests that something went wrong, and it provides a request ID for troubleshooting purposes. Visitors are advised to return to the previous page while the issue is being resolved.

VidLab Store is an AI-powered platform offering premium tools to simplify video creation and editing processes. The platform provides various AI-driven solutions such as AI Short Video Generator, AI Voiceover for Video Creators, Embed TikTok Live for WordPress, Realistic Text-to-Speech SaaS, and TikTok Video Downloader Without Watermark for WordPress. Users can enhance their video content with advanced AI technology, making the video creation process efficient and effective.

Store Copilot is an AI-powered shopping assistant that helps brands create personalized customer experiences. It allows businesses to create a branded AI assistant that can answer customer questions, provide product recommendations, and help with other tasks. Store Copilot is designed to be easy to use and integrate with Shopify stores. It is also backed by a team of experts who can help businesses get the most out of the platform.

The App Store by Apple is a trusted platform where users can discover and download a wide range of apps for their Apple devices. With nearly two million apps available worldwide, the App Store offers a curated selection of apps that are held to high standards for privacy, security, and content. Users can explore stories, collections, and in-app events, receive personalized suggestions, and enjoy a rich search experience. The platform prioritizes user privacy and security, with strict guidelines for app developers and a dedicated team of reviewers. The App Store also emphasizes the seamless integration of hardware and software to enhance user experiences. With features like instant downloads, secure payments, and easy app management across devices, the App Store aims to provide a safe and user-friendly environment for app discovery and usage.

Ismail Store is an AI tool that offers a variety of products and services related to programming, writing prompts, and content creation. It provides a platform for users to access ChatGPT prompts tailored for different professions such as military lawyers, doctors, accountants, and more. The store also offers software solutions for lawyers and surgeons. Users can purchase memberships for access to exclusive content and services.

The Wig Store Directory is an AI-powered platform that helps users discover the best wig shops of 2024. It offers a comprehensive list of wig stores, including a variety of wig types such as lace front wigs, human hair wigs, synthetic wigs, and more. Users can search for specific wig styles and submit their own wig store to enhance SEO and sales. The platform is updated daily by GPT-4o, providing users with the latest information on wig stores. Additionally, the directory features a startup list for wig store developers and offers free submissions to the directory.

The Chrome Web Store is a platform where users can discover and install extensions and themes to enhance their browsing experience on the Google Chrome browser. It offers a wide range of tools and applications, including AI-powered extensions like 'Monica - Your AI Copilot' and 'Voila – AI Assistant, Copilot and AI Writer'. Users can find various categories of extensions and themes to personalize their browser and improve productivity.

The Shopify App Store is a platform where users can browse and install various applications to enhance their Shopify store's functionality. With over 8,000 apps available, users can find tools for sales channels, product sourcing, order management, store design, marketing, and more. The store offers a wide range of apps to help merchants customize their online stores and improve their business operations.

A.I. Store Manager is a cutting-edge AI application that serves as a personal assistant for eCommerce businesses. Powered by GPT-4, it redefines eCommerce management through conversational AI, offering a range of skills to enhance store operations. The application is designed to support small to medium businesses across various eCommerce models, providing features like analytics and reporting, product and order management, store setup and optimization, and email communications. With a focus on compliance and data security, the AI Assistant ensures GDPR and CCPA adherence, offering flexibility in skill customization and data management. The application is currently in limited-access beta, with plans for further development and integration with custom eCommerce platforms.

Claude Artifacts Store is an AI-powered platform that offers a wide range of innovative tools and games. It provides users with interactive simulations, gaming experiences, and customization options for cartoon characters. The platform also features strategic planning tools like BCG Matrix visualizations and job search artifacts. With captivating website animations and a word cloud generator, Claude Artifacts Store aims to enhance user engagement and provide a unique online experience.

This website offers a variety of Notion templates and Popsy website templates to help users optimize their productivity and life. The templates are designed to help users with tasks such as personal accounting, project management, and daily note-taking.

CeylonAI is a platform that offers a Project Starter Kit for Generative AI SaaS Applications. It provides tools and resources for undergraduate students to create SaaS applications. The platform aims to empower students to develop AI-powered solutions and gain practical experience in the field of artificial intelligence.

Reetail is an E-Commerce platform that allows small businesses to easily create online stores using their existing Stripe products. With no coding knowledge required, users can set up a professional-looking store with customizable themes, payment processing, and inventory management. Reetail offers a fast and mobile-friendly experience, supports multi-currency transactions, and enables the sale of subscription products. The platform stands out for its 0% transaction fees and No-Code approach, making it a user-friendly solution for online selling.

AI Bookstore is a website that uses AI to help users find books that they want to read. Users can ask the AI questions about what they are looking for, and the AI will recommend books that match their criteria. The AI can also generate personalized recommendations based on a user's reading history.

Lantern is an open-source PostgreSQL database extension designed to store vector data, generate embeddings, and handle vector search operations efficiently. It introduces a new index type called 'lantern_hnsw' for vector columns, which speeds up 'ORDER BY ... LIMIT' queries. Lantern utilizes the state-of-the-art HNSW implementation called usearch. Users can easily install Lantern using Docker, Homebrew, or precompiled binaries. The tool supports various distance functions, index construction parameters, and operator classes for efficient querying. Lantern offers features like embedding generation, interoperability with pgvector, parallel index creation, and external index graph generation. It aims to provide superior performance metrics compared to other similar tools and has a roadmap for future enhancements such as cloud-hosted version, hardware-accelerated distance metrics, industry-specific application templates, and support for version control and A/B testing of embeddings.

The Vector Cookbook is a collection of recipes and sample application starter kits for building AI applications with LLMs using PostgreSQL and Timescale Vector. Timescale Vector enhances PostgreSQL for AI applications by enabling the storage of vector, relational, and time-series data with faster search, higher recall, and more efficient time-based filtering. The repository includes resources, sample applications like TSV Time Machine, and guides for creating, storing, and querying OpenAI embeddings with PostgreSQL and pgvector. Users can learn about Timescale Vector, explore performance benchmarks, and access Python client libraries and tutorials.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

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.

This repository provides code samples in Python, C#, REST, and JavaScript for vector support in Azure AI Search. It includes demos for various languages showcasing vectorization of data, creating indexes, and querying vector data. Additionally, it offers tools like Azure AI Search Lab for experimenting with AI-enabled search scenarios in Azure and templates for deploying custom chat-with-your-data solutions. The repository also features documentation on vector search, hybrid search, creating and querying vector indexes, and REST API references for Azure AI Search and Azure OpenAI Service.

vecs is a Python client for managing and querying vector stores in PostgreSQL with the pgvector extension. It allows users to create collections of vectors with associated metadata, index the collections for fast search performance, and query the collections based on specified filters. The tool simplifies the process of working with vector data in a PostgreSQL database, making it easier to store, retrieve, and analyze vector information.

This repository provides resources, demos, and recipes for working with Large Language Models (LLMs) on OpenShift using OpenShift AI or Open Data Hub. It includes instructions for deploying inference servers for LLMs, such as vLLM, Hugging Face TGI, Caikit-TGIS-Serving, and Ollama. Additionally, it offers guidance on deploying serving runtimes, such as vLLM Serving Runtime and Hugging Face Text Generation Inference, in the Single-Model Serving stack of Open Data Hub or OpenShift AI. The repository also covers vector databases that can be used as a Vector Store for Retrieval Augmented Generation (RAG) applications, including Milvus, PostgreSQL+pgvector, and Redis. Furthermore, it provides examples of inference and application usage, such as Caikit, Langchain, Langflow, and UI examples.

KDB.AI is a time-based vector database that allows developers to build scalable, reliable, and real-time applications by providing advanced search, recommendation, and personalization for Generative AI applications. It supports multiple index types, distance metrics, top-N and metadata filtered retrieval, as well as Python and REST interfaces. The repository contains samples demonstrating various use-cases such as temporal similarity search, document search, image search, recommendation systems, sentiment analysis, and more. KDB.AI integrates with platforms like ChatGPT, Langchain, and LlamaIndex. The setup steps require Unix terminal, Python 3.8+, and pip installed. Users can install necessary Python packages and run Jupyter notebooks to interact with the samples.

Qdrant is a vector similarity search engine and vector database. It is written in Rust, which makes it fast and reliable even under high load. Qdrant can be used for a variety of applications, including: * Semantic search * Image search * Product recommendations * Chatbots * Anomaly detection Qdrant offers a variety of features, including: * Payload storage and filtering * Hybrid search with sparse vectors * Vector quantization and on-disk storage * Distributed deployment * Highlighted features such as query planning, payload indexes, SIMD hardware acceleration, async I/O, and write-ahead logging Qdrant is available as a fully managed cloud service or as an open-source software that can be deployed on-premises.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

This repository contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform. Users can learn how to use Elasticsearch as a vector database for storing embeddings, build use cases like retrieval augmented generation (RAG), summarization, and question answering (QA), and test Elastic's leading-edge capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF). It also allows integration with projects like OpenAI, Hugging Face, and LangChain to power LLM-powered applications. The repository enables modern search experiences powered by AI/ML.

Ragtacts is a Clojure library that allows users to easily interact with Large Language Models (LLMs) such as OpenAI's GPT-4. Users can ask questions to LLMs, create question templates, call Clojure functions in natural language, and utilize vector databases for more accurate answers. Ragtacts also supports RAG (Retrieval-Augmented Generation) method for enhancing LLM output by incorporating external data. Users can use Ragtacts as a CLI tool, API server, or through a RAG Playground for interactive querying.

The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

Zep is an open-source platform for building and deploying large language model (LLM) applications. It provides a suite of tools and services that make it easy to integrate LLMs into your applications, including chat history memory, embedding, vector search, and data enrichment. Zep is designed to be scalable, reliable, and easy to use, making it a great choice for developers who want to build LLM-powered applications quickly and easily.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

Honcho is a platform for creating personalized AI agents and LLM powered applications for end users. The repository is a monorepo containing the server/API for managing database interactions and storing application state, along with a Python SDK. It utilizes FastAPI for user context management and Poetry for dependency management. The API can be run using Docker or manually by setting environment variables. The client SDK can be installed using pip or Poetry. The project is open source and welcomes contributions, following a fork and PR workflow. Honcho is licensed under the AGPL-3.0 License.

RAG Me Up is a generic framework that enables users to perform Retrieve and Generate (RAG) on their own dataset easily. It consists of a small server and UIs for communication. Best run on GPU with 16GB vRAM. Users can combine RAG with fine-tuning using LLaMa2Lang repository. The tool allows configuration for LLM, data, LLM parameters, prompt, and document splitting. Funding is sought to democratize AI and advance its applications.

Meet Vectoria, the 'Weaver of Words and Architect of Ideas.' a Chaotic AI entity, intricately crafted with a symphony of personality and emotional vectors, designed to weave complex, creative, and unpredictable responses in conversation.

Expert in retail industry and consumer goods discussions.

Helps users find stores and businesses with practical, location-based advice.

Welcome to GAPP Store: Chat, create, customize—your all-in-one AI app universe

Analyzes current trends and usage in the GPT Store.

A GPT specialized in curating, documenting, and updating GPTs on Github at https://github.com/prajwalsouza/GPT-Store

A guide for iOS app builders to navigate App Store guidelines

Open AI GPT Store

Expert in retail industry discussions and consumer goods insights.

Agricultural and informative guide on farm supplies and rural living.

HHC este legal in Romania

Enthusiastic assistant showcasing the latest GPT technologies with a focus on security.

Creates a Shopify App Store Listing With Icons

Never lose data again. Store entire conversations for later retrieve or sharing. Do not share sensible information, data is publicly available.

Etsy store branding and marketing guide.

Your superhero-like ally for Shopify store advice.

A guide for dollar store bargain shopping and product insights

Optimize your ecommerce store for SEO with tailored SEO strategies.

Third-party GPTs store, chat for searching GPTs.

Expert in workshop and store tools, providing detailed, safe usage information.