Best AI tools for< Scale To Large Databases >

Fleak AI Workflows is a low-code serverless API Builder designed for data teams to effortlessly integrate, consolidate, and scale their data workflows. It simplifies the process of creating, connecting, and deploying workflows in minutes, offering intuitive tools to handle data transformations and integrate AI models seamlessly. Fleak enables users to publish, manage, and monitor APIs effortlessly, without the need for infrastructure requirements. It supports various data types like JSON, SQL, CSV, and Plain Text, and allows integration with large language models, databases, and modern storage technologies.

PromptChainer is a powerful AI flow generation tool that allows users to create complex AI-driven flows with ease using a visual flow builder. It seamlessly integrates AI and traditional programming, enabling users to chain prompts and models and manage AI-generated insights on large-scale data effortlessly. With pre-built templates, a user-friendly database, and versatile logic nodes, PromptChainer empowers users to build custom flows or applications with infinite possibilities.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

TextIt is a leading bot platform that allows users to easily build scalable, interactive chatbots on any channel without writing any code. It offers a robust suite of features, including a drag-and-drop flow designer, custom contact database, automated campaigns, omni-channel support, ticketing system, and integrations with Zapier, Wit.ai, and custom webhooks. TextIt is trusted by organizations large and small and is free to try with friendly pricing even at massive scale.

Bom.Ai is an AI-powered electronic components procurement and trading platform that offers a wide range of services for the electronic components distribution industry. It provides services such as large-scale procurement, ERP, supply chain management, import customs clearance, Hong Kong warehousing, data services, and financial services. The platform also features tools for efficient inquiry and quotation, open platform for e-commerce and data APIs, and a comprehensive database of component prices. Bom.Ai caters to traders of all sizes with versions tailored for small, medium, and large enterprises. The platform aims to streamline the procurement process, enhance business efficiency, and provide a one-stop solution for electronic components sourcing and trading.

DISCO is a leading provider of ediscovery and legal technology solutions. The company's cloud-based platform helps law firms and corporate legal teams streamline the discovery process, reduce costs, and improve outcomes. DISCO's AI-powered features include Cecilia, an AI fact expert that can answer questions about cases based on evidence in a database; AI timeline creation, which can automatically generate timelines summarizing key facts in minutes; AI large-scale document review, which can automate document review using generative AI; and AI witness digests, which can summarize depositions with citations, topics, and dates. DISCO's platform is easy to use and provides a defensible audit trail. The company also offers a range of professional services, including managed review, deposition review, and expert consulting.

Writerly is a powerful AI productivity software trusted by over one million of the world's most innovative organizations and creators. It leverages generative AI to enhance business outcomes and supercharge productivity with outcome-oriented AI. Writerly's no-code cloud platform supports everyone from individual creators to large enterprise teams, enabling them to create, edit, and publish content according to any brand guideline at any time.

Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks. It allows users to integrate machine learning functionality into their existing applications with just 2 lines of code, ensuring real-time performance even with high-resolution data on consumer-grade CPUs. The tool provides a clean and minimalistic API for easy integration, robust to large scale and resolution variations, versatile to run on various platforms, and adaptive to scale with the computing power of the system.

Onyxium is an AI platform that provides a comprehensive collection of AI tools for various tasks such as image recognition, text analysis, and speech recognition. It offers users the ability to access and utilize the latest AI technologies in one place, empowering them to enhance their projects and workflows with advanced AI capabilities. With a user-friendly interface and affordable pricing plans, Onyxium aims to make AI tools accessible to everyone, from individuals to large-scale businesses.

Persana AI is an AI-powered prospecting tool that helps users find, enrich, and personalize outbound leads using over 75 data sources and AI signals. It enables users to build hyper-relevant and targeted lead lists, automate workflows with a powerful AI agent, create personalized messaging, and stay up to date with AI triggers. The platform offers real-time data enrichment, job change tracking, and technographics to boost sales processes and generate a higher pipeline. Trusted by teams and businesses of all sizes, Persana AI revolutionizes sales prospecting workflows with its AI-driven insights and automation capabilities.

Infermatic.ai is a platform that provides access to top Large Language Models (LLMs) with a user-friendly interface. It offers complete privacy, robust security, and scalability for projects, research, and integrations. Users can test, choose, and scale LLMs according to their content needs or business strategies. The platform eliminates the complexities of infrastructure management, latency issues, version control problems, integration complexities, scalability concerns, and cost management issues. Infermatic.ai is designed to be secure, intuitive, and efficient for users who want to leverage LLMs for various tasks.

Screenloop is an applicant tracking system (ATS) that goes beyond traditional tracking systems by offering interview intelligence, AI notes, and more at a fraction of the cost. It is designed to help businesses win top candidates, scale seamlessly, and use powerful AI to streamline operations and reduce costs. Screenloop's Talent Operations Platform provides access to a full suite of tools, including applicant tracking, interview intelligence, pulse surveys, background checks, referencing, interviewer training, data & analytics, and more.

IllumiDesk is a generative AI platform designed for instructors and content developers. It enables users to create and monetize tailored content up to 10 times faster than traditional methods. The platform offers a range of features including automated grading, collaboration tools, real-time collaboration, AI-powered content creation, and integrations with various services. IllumiDesk is suitable for a wide range of users, from freelancers and solopreneurs to large organizations and educational institutions.

DataVisor is a modern, end-to-end fraud and risk SaaS platform powered by AI and advanced machine learning for financial institutions and large organizations. It provides a comprehensive suite of capabilities to combat a variety of fraud and financial crimes in real time. DataVisor's hyper-scalable, modern architecture allows you to leverage transaction logs, user profiles, dark web and other identity signals with real-time analytics to enrich and deliver high quality detection in less than 100-300ms. The platform is optimized to scale to support the largest enterprises with ultra-low latency. DataVisor enables early detection and adaptive response to new and evolving fraud attacks combining rules, machine learning, customizable workflows, device and behavior signals in an all-in-one platform for complete protection. Leading with an Unsupervised approach, DataVisor is the only proven, production-ready solution that can proactively stop fraud attacks before they result in financial loss.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

Ref Hub is an AI-powered online reference checking software based in Australia. The platform offers automated reference checks, fraud detection, lead generation tools, survey builder, and mobile app for managing reference checks on-the-go. With AI assessments, users can test candidates' skills at scale. Ref Hub provides flexible solutions for businesses of all sizes, from startups to large enterprises, streamlining the hiring process with reliable reference checks and smart assessments.

Cohesive is an AI tool designed to provide outsourced analysts and assistants for businesses. It enables users to prospect at scale, perform outbound activities with AI enrichment and web scraping directly within Google Sheets. The tool is Google Sheets native, allowing users to enrich and scrape the web without the need to import data into a separate platform. Cohesive also leverages AI for bulk data analysis, personalization generation, web scraping, and email finding/validation. It offers free usage with the option to join the Cohesive Slack community for additional support.

Manifest AI is an AI application that offers ChatGPT, a powerful tool for individuals and businesses. ChatGPT is a large language model that can assist with various tasks such as generating creative text formats, research and development, and more. Manifest AI also provides automated quality management, customer experience design, and customer success manager services. The application aims to enhance customer service, boost sales, and improve overall business performance through AI-powered solutions.

Synterrix is an advanced AI tool designed for Google Sheets, offering features like fine-tuned AI models, bulk processing of prompts and image URLs, autocomplete tasks with AI, scraping text from URLs, and generating formulas with AI. It aims to enhance productivity and efficiency by providing AI-powered solutions for various tasks within Google Sheets, catering to both large teams and lean teams with tight budgets.

Insight7 is a powerful AI-powered tool that helps businesses extract insights from customer and employee interviews. It uses natural language processing and machine learning to analyze large volumes of unstructured data, such as transcripts, audio recordings, and videos. Insight7 can identify key themes, trends, and sentiment, which can then be used to improve products, services, and customer experiences.

SUQL (Structured and Unstructured Query Language) is a tool that augments SQL with free text primitives for building chatbots that can interact with relational data sources containing both structured and unstructured information. It seamlessly integrates retrieval models, large language models (LLMs), and traditional SQL to provide a clean interface for hybrid data access. SUQL supports optimizations to minimize expensive LLM calls, scalability to large databases with PostgreSQL, and general SQL operations like JOINs and GROUP BYs.

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

Amplication is a robust, open-source development platform designed to revolutionize the creation of scalable and secure .NET and Node.js applications. It automates backend applications development, ensuring consistency, predictability, and adherence to the highest standards with code that's built to scale. The user-friendly interface fosters seamless integration of APIs, data models, databases, authentication, and authorization. Built on a flexible, plugin-based architecture, Amplication allows effortless customization of the code and offers a diverse range of integrations. With a strong focus on collaboration, Amplication streamlines team-oriented development, making it an ideal choice for groups of all sizes, from startups to large enterprises. It enables users to concentrate on business logic while handling the heavy lifting of development. Experience the fastest way to develop .NET and Node.js applications with Amplication.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

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

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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.

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I'm a Python and PyTorch expert with knowledge of ML infrastructure requirements ready to help you build and scale your ML projects.

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Startup Strong Within 180 Days: Tailored advice for launching, promoting, and scaling businesses of all types. It covers all stages from pre-launch to post-launch and develops strategies including market research, branding, promotional tactics, and operational planning unique your business. (v1.8)

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Optimizes production processes for efficient large-scale operations.

S&T Intelligence at Scale

Expert in full-scale app development, coding, and OCR.

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Sequentially administers Big Five Test with 1-5 scale.

Rate AI-created model portraits on a 1-10 scale.

In-depth CIM analysis with a structured rating scale, offering detailed business evaluations.