Best AI tools for< Retrieve Text >

QuickData Cloud is an innovative platform designed to simplify collaboration on online notes and text data storage. It empowers users to store, manage, and retrieve text data effortlessly through a single API endpoint, providing real-time access to information. QuickData Cloud is the simplest and fastest method to collaborate and maintain continuity in data handling, ensuring data is accessible, secure, and easy to manage. With a focus on no-code developers, it offers storage of text, comments, JSON, and databases, along with upcoming AI features for data analysis.

Hints is a sales AI assistant that helps sales reps to get more hours in a day while keeping CRM data accurate automatically. It works with Salesforce, Hubspot, and Pipedrive. With Hints, sales reps can log and retrieve CRM data on any device with chat and voice, get guidance on their next steps, and reminders of what's missing. Hints can also help sales reps to create complex CRM updates in seconds, find duplicates, suggest actions, automatically create associations, and look up sales data through chat and voice commands. Hints can assist sales reps in building the perfect sales process for their team and provides fast onboarding for new sales reps.

Keepi is a personal knowledge AI application that allows users to capture, organize, and retrieve their knowledge effortlessly. With Keepi, users can capture ideas, documents, and images, and the AI technology enriches and organizes the knowledge for easy retrieval. Users can access their personal knowledge on the go or in the office, leveraging their insights. Keepi.ai aims to provide users with a seamless experience in managing and utilizing their knowledge effectively.

Exa is a search engine that uses embeddings-based search to retrieve the best content on the web. It is trusted by companies and developers from all over the world. Exa is like Google, but it is better at understanding the meaning of your queries and returning results that are more relevant to your needs. Exa can be used for a variety of tasks, including finding information on the web, conducting research, and building AI applications.

Unlost is a memory recall tool designed to help users effortlessly remember and retrieve information using natural language. It acts as a personal memory palace, eliminating the need for extensive note-taking or complex systems. Unlost intelligently records and organizes data, respecting user privacy by capturing content locally and offline. The tool offers quick access, powerful filtering capabilities, and familiar keyboard shortcuts for seamless user experience. With features like searching meeting transcripts, copying text from screenshots, and zero integration requirements, Unlost aims to simplify information retrieval and enhance productivity.

xPDF AI by PDFChat is a personal AI assistant designed for PDF files. It offers advanced features to analyze tables, figures, and text from PDF documents, providing users with instant answers and insights. The AI assistant uses a chat interface for effortless interaction and is capable of summarizing PDF files, retrieving relevant figures, processing tables intelligently, and performing accurate calculations. Users can also benefit from voice chat, advanced search tools, performance analytics, report generation, and document assistance. With over 10,000 users trusting the platform, PDFChat aims to revolutionize document analysis and enhance productivity.

Macro is a cloud AI workspace that combines document editing, file storage, collaboration, and LLMs. It allows users to understand content instantly by clicking or highlighting text to see its meaning. The application is particularly useful for analyzing financial documents, legal contracts, and academic papers. Macro offers different storage and AI compute plans to cater to various user needs.

Asktro is an AI tool that brings natural language search and an AI assistant to static documentation websites. It offers a modern search experience powered by embedded text similarity search and large language models. Asktro provides a ready-to-go search UI, plugin for data ingestion and indexing, documentation search, and an AI assistant for answering specific questions.

Jarvis AI is an AI-powered concierge application designed to provide personalized assistance and support to users. The application leverages artificial intelligence technology to offer a range of services, including managing tasks, organizing schedules, and providing relevant information. With its intuitive interface and advanced algorithms, Jarvis AI aims to streamline daily activities and enhance productivity. Users can interact with Jarvis AI through voice commands or text input, making it a convenient and efficient tool for various tasks.

Trieve is an AI-first infrastructure API that offers a modern solution for search, recommendations, and RAG (Retrieve and Generate) tasks. It combines language models with tools for fine-tuning ranking and relevance, providing production-ready capabilities for building search, discovery, and RAG experiences. Trieve supports semantic vector search, full-text search using BM25 & SPLADE models, custom embedding models, hybrid search, and sub-sentence highlighting. With features like merchandising, relevance tuning, and self-hostable options, Trieve empowers companies to enhance their search capabilities and user experiences.

Sourcely is an AI-powered tool designed to help students and researchers find academic sources quickly and efficiently. It offers features such as summarizing sources, exporting references, advanced filters, and PDF downloads. Sourcely aims to streamline the research process and save users time by providing credible sources for academic papers.

FlowHunt is an AI chatbot platform that offers a new no-code visual way to build AI tools and chatbots for websites. It provides a template library with ready-to-use options, from simple AI tools to complex chatbots, and integrates with popular services like Smartsupp, LiveChat, HubSpot, and LiveAgent. The platform also features components like Task Decomposition, Query Expansion, Chat Input, Chat Output, Document Retriever, Document to Text, Generator, and GoogleSearch, enabling users to create customized chatbots for various contexts. FlowHunt aims to simplify the process of building and deploying AI-powered solutions for customer service and content generation.

Wondershare Help Center provides comprehensive support for Wondershare products, including video editing, video creation, diagramming, PDF solutions, and data management. It offers a wide range of resources such as tutorials, FAQs, troubleshooting guides, and access to customer support.

Extracta.ai is an AI data extraction tool for documents and images that automates data extraction processes with easy integration. It allows users to define custom templates for extracting structured data without the need for training. The platform can extract data from various document types, including invoices, resumes, contracts, receipts, and more, providing accurate and efficient results. Extracta.ai ensures data security, encryption, and GDPR compliance, making it a reliable solution for businesses looking to streamline document processing.

Ubblu is an AI-driven note-taking application that aims to help users search less and create more by providing a seamless experience for capturing, organizing, and retrieving ideas and information. It offers features like note capture, card writing, tag categorization, instant knowledge retrieval, and 'Ask' functionality for quick access to stored information. Ubblu is designed to liberate users' minds from information retention, allowing them to focus on innovation and creativity. The application is desktop-based with a mobile version in development.

ONERECOVERY is a professional data recovery solution for Windows that offers comprehensive and expert solutions to recover lost data from various storage devices. The software is designed to handle over 1,000 data loss scenarios, including accidental deletion, formatting errors, virus attacks, and more. ONERECOVERY provides a user-friendly interface, supports a wide range of file formats, and ensures data security and confidentiality. With a success rate of 95%, fast and easy recovery process, and reliable customer support, ONERECOVERY is a trusted tool for millions of users worldwide.

Pinecone is a vector database designed to build knowledgeable AI applications. It offers a serverless platform with high capacity and low cost, enabling users to perform low-latency vector search for various AI tasks. Pinecone is easy to start and scale, allowing users to create an account, upload vector embeddings, and retrieve relevant data quickly. The platform combines vector search with metadata filters and keyword boosting for better application performance. Pinecone is secure, reliable, and cloud-native, making it suitable for powering mission-critical AI applications.

IntelliumAI is a leading AI application provider specializing in secure AI solutions for data-sensitive industries. Their flagship AI-powered assistant, BoostBot, empowers organizations to unlock their knowledge potential securely. Additionally, AiBoost offers a comprehensive AI platform tailored for advanced engineering professionals, enabling teams to leverage powerful AI capabilities without extensive data science expertise. IntelliumAI is trusted by industry leaders for its transparent and compliance-ready AI solutions.

Pragma is an AI-powered knowledge assistant application designed to help organizations access and manage their knowledge sources efficiently. It offers features such as AI training on user data, instant information retrieval within Slack, multi-platform actions triggering, personalized privacy options, and knowledge repository refinement through user feedback. Pragma empowers sales teams with CRM assistance, competitor website insights, and content generation from organizational wisdom. It also facilitates customer support automation through AI chatbots. The application is praised for its ability to enhance productivity, streamline knowledge sharing, and improve customer interactions.

Ask Command is an AI-powered developer assistant application designed to help users quickly retrieve forgotten commands. The app sends user queries to a server utilizing Open AI's GPT-3 to generate the best command suggestions. Users are advised to verify the suggestions and not run any commands they do not understand. The app is currently available as a Beta version for macOS, with limited free credits. It aims to save users time by providing quick command reminders without the need to search extensively on Google.

Language Models is a Python package that provides building blocks to explore large language models with as little as 512MB of RAM. It simplifies the usage of large language models from Python, ensuring all inference is performed locally to keep data private. The package includes features such as text completions, chat capabilities, code completions, external text retrieval, semantic search, and more. It outperforms Hugging Face transformers for CPU inference and offers sensible default models with varying parameters based on memory constraints. The package is suitable for learners and educators exploring the intersection of large language models with modern software development.

ModelFusion is an abstraction layer for integrating AI models into JavaScript and TypeScript applications, unifying the API for common operations such as text streaming, object generation, and tool usage. It provides features to support production environments, including observability hooks, logging, and automatic retries. You can use ModelFusion to build AI applications, chatbots, and agents. ModelFusion is a non-commercial open source project that is community-driven. You can use it with any supported provider. ModelFusion supports a wide range of models including text generation, image generation, vision, text-to-speech, speech-to-text, and embedding models. ModelFusion infers TypeScript types wherever possible and validates model responses. ModelFusion provides an observer framework and logging support. ModelFusion ensures seamless operation through automatic retries, throttling, and error handling mechanisms. ModelFusion is fully tree-shakeable, can be used in serverless environments, and only uses a minimal set of dependencies.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

The Clarifai Python SDK offers a comprehensive set of tools to integrate Clarifai's AI platform to leverage computer vision capabilities like classification , detection ,segementation and natural language capabilities like classification , summarisation , generation , Q&A ,etc into your applications. With just a few lines of code, you can leverage cutting-edge artificial intelligence to unlock valuable insights from visual and textual content.

RSS-Translator is an open-source, simple, and self-deployable tool that allows users to translate titles or content, display in bilingual, subscribe to translated RSS/JSON feeds, support multiple translation engines, control update frequency of translation sources, view translation status, cache all translated content to reduce translation costs, view token/character usage for each source, provide AI content summarization, and retrieve full text. It currently supports various translation engines such as Free Translators, DeepL, OpenAI, ClaudeAI, Azure OpenAI, Google Gemini, Google Translate, Microsoft Translate API, Caiyun API, Moonshot AI, Together AI, OpenRouter AI, Groq, Doubao, OpenL, and Kagi API, with more being added continuously.

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.

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 |

Windrecorder is an open-source tool that helps you retrieve memory cues by recording everything on your screen. It can search based on OCR text or image descriptions and provides a summary of your activities. All of its capabilities run entirely locally, without the need for an internet connection or uploading any data, giving you complete ownership of your data.

Gemini-API is a reverse-engineered asynchronous Python wrapper for Google Gemini web app (formerly Bard). It provides features like persistent cookies, ImageFx support, extension support, classified outputs, official flavor, and asynchronous operation. The tool allows users to generate contents from text or images, have conversations across multiple turns, retrieve images in response, generate images with ImageFx, save images to local files, use Gemini extensions, check and switch reply candidates, and control log level.

LLM Steer is a Python module designed to steer Large Language Models (LLMs) towards specific topics or subjects by adding steer vectors to different layers of the model. It enhances the model's capabilities, such as providing correct responses to logical puzzles. The tool should be used in conjunction with the transformers library. Users can add steering vectors to specific layers of the model with coefficients and text, retrieve applied steering vectors, and reset all steering vectors to the initial model. Advanced usage involves changing default parameters, but it may lead to the model outputting gibberish in most cases. The tool is meant for experimentation and can be used to enhance role-play characteristics in LLMs.

LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance.

node-llama-cpp is a tool that allows users to run AI models locally on their machines. It provides pre-built bindings with the option to build from source using cmake. Users can interact with text generation models, chat with models using a chat wrapper, and force models to generate output in a parseable format like JSON. The tool supports Metal and CUDA, offers CLI functionality for chatting with models without coding, and ensures up-to-date compatibility with the latest version of llama.cpp. Installation includes pre-built binaries for macOS, Linux, and Windows, with the option to build from source if binaries are not available for the platform.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

Use the OpenAI API with Ruby! 🤖🩵 Stream text with GPT-4, transcribe and translate audio with Whisper, or create images with DALL·E... Hire me | 🎮 Ruby AI Builders Discord | 🐦 Twitter | 🧠 Anthropic Gem | 🚂 Midjourney Gem ## Table of Contents * Ruby OpenAI * Table of Contents * Installation * Bundler * Gem install * Usage * Quickstart * With Config * Custom timeout or base URI * Extra Headers per Client * Logging * Errors * Faraday middleware * Azure * Ollama * Counting Tokens * Models * Examples * Chat * Streaming Chat * Vision * JSON Mode * Functions * Edits * Embeddings * Batches * Files * Finetunes * Assistants * Threads and Messages * Runs * Runs involving function tools * Image Generation * DALL·E 2 * DALL·E 3 * Image Edit * Image Variations * Moderations * Whisper * Translate * Transcribe * Speech * Errors * Development * Release * Contributing * License * Code of Conduct

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

org-ai is a minor mode for Emacs org-mode that provides access to generative AI models, including OpenAI API (ChatGPT, DALL-E, other text models) and Stable Diffusion. Users can use ChatGPT to generate text, have speech input and output interactions with AI, generate images and image variations using Stable Diffusion or DALL-E, and use various commands outside org-mode for prompting using selected text or multiple files. The tool supports syntax highlighting in AI blocks, auto-fill paragraphs on insertion, and offers block options for ChatGPT, DALL-E, and other text models. Users can also generate image variations, use global commands, and benefit from Noweb support for named source blocks.

Parrot.nvim is a Neovim plugin that prioritizes a seamless out-of-the-box experience for text generation. It simplifies functionality and focuses solely on text generation, excluding integration of DALLE and Whisper. It supports persistent conversations as markdown files, custom hooks for inline text editing, multiple providers like Anthropic API, perplexity.ai API, OpenAI API, Mistral API, and local/offline serving via ollama. It allows custom agent definitions, flexible API credential support, and repository-specific instructions with a `.parrot.md` file. It does not have autocompletion or hidden requests in the background to analyze files.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

AIRAVAT is a multifunctional Android Remote Access Tool (RAT) with a GUI-based Web Panel that does not require port forwarding. It allows users to access various features on the victim's device, such as reading files, downloading media, retrieving system information, managing applications, SMS, call logs, contacts, notifications, keylogging, admin permissions, phishing, audio recording, music playback, device control (vibration, torch light, wallpaper), executing shell commands, clipboard text retrieval, URL launching, and background operation. The tool requires a Firebase account and tools like ApkEasy Tool or ApkTool M for building. Users can set up Firebase, host the web panel, modify Instagram.apk for RAT functionality, and connect the victim's device to the web panel. The tool is intended for educational purposes only, and users are solely responsible for its use.

Retrieve data on DeFi protocols and blockchains

This GPT allows to interact with the Unprotect DB to retrieve knowledge about malware evasion techniques

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

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Unlock the power of your research with the AskYourPDF Research Assistant. Bring information to your fingertips today.

I search Lambeth's planning site to provide links to policies and documents.

Expert in Tiago Forte's Second Brain methodology for digital organization.

Download data from the internet. Fetch the content of sites and make it available to the session, given a URL.

myaidrive.com plugin to search across all your dive documents.

Efficient Assistant for task management, info retrieval, and scheduling. Offers dynamic, personalized support while ensuring user privacy and data security. Ideal for organizing tasks, setting reminders, and providing up-to-date information.

I browse docs to answer Svelte & Supabase queries.

Can't quite remember that thought you had? Use this GPT to help guide you back to your memory.

Finds and provides RSS feed URLs for given website links.

Expert at web navigation and information retrieval.

Write what you'd like researched. Get information in a table format.

Golden Retriever training expert providing advice and tips

Retrieves hunting-related data for each state. Providing insightful data analysis on trends in hunting statistics. (beta)

Comprehensive training and wellness guide for Chesapeake Bay Retrievers.