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.

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.

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 have encountered an error while trying to access the store. The message suggests that users can try returning to the previous page. The specific error code provided is Request ID: 14882243-19fd-4d77-94d6-2d094971403b-1735404810.

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 that offers a wide range of apps for users to discover and download. With nearly two million apps available, the App Store focuses on providing a safe and innovative destination for users to explore amazing experiences. The platform features curated stories, personalized app suggestions, rich search experience, detailed app product pages, and strict privacy and security measures to ensure user data protection. The App Store also supports app developers by providing tools to incorporate cutting-edge technologies into their apps, enhancing user experiences across Apple devices.

The Microsoft Store is a digital distribution platform for Microsoft Windows. It offers a wide range of apps, games, software, and other digital content for Windows PC users. Users can download and install various applications to enhance their productivity, entertainment, and overall computing experience. The Microsoft Store provides a convenient and secure way for users to discover, purchase, and manage their digital content all in one place.

The website is dedicated to showcasing and selling the G-Series lenses and accessories, designed to enhance mobile photography, particularly for iPhone and Samsung users. The G-Series Collection offers a range of lenses, filters, and bundles to elevate the quality of smartphone photography. Additionally, the site features iOS camera apps developed by the company, such as Reeflex Pro Camera, ReeXpose for RAW long exposure, ReeHeld for handheld long exposure, and ReeLapse for pro time-lapse videos. The platform also provides tutorials, FAQs, and a blog to support and educate users in mobile content creation.

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.

Chrome Web Store is a platform provided by Google that allows users to discover, install, and manage extensions and themes for the Chrome browser. Users can enhance their browsing experience by customizing their browser with a wide range of extensions and themes available on the store. The store features various categories such as Shopping, Entertainment, Tools, Art & Design, and Accessibility, catering to different user preferences and needs. Additionally, users can find top-rated extensions, editor's picks, and new releases to stay updated with the latest browser enhancements.

The Shopify App Store is a platform where users can browse and install various applications to enhance their Shopify store. With over 8,000 apps available, users can find tools for sales channels, product sourcing, selling products, order management, store design, marketing, and more. The apps go through a rigorous review process before being listed on the store, ensuring quality and reliability. Merchants can customize their store with additional features and pages beyond the built-in options, and the platform offers various apps for tasks like email marketing, dropshipping, product reviews, and more.

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.

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.

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.

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.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

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.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

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.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

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.

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.