Best AI tools for< Retrieve Answers >

PageChat is an AI tool that allows users to chat with any page, content, or document using artificial intelligence technology. Users can simply input a URL, content, or document and start a chat to receive information or answers related to the input. The tool is designed to provide a conversational interface for interacting with various types of online information, making it easier for users to access and understand content in a more interactive way.

The website is an AI tool that allows users to search for answers directly inside thousands of YouTube videos. It is a free-of-cost, easy-to-navigate, and fast tool that leverages AI technology to provide efficient search results. Users can quickly find information from videos without the need to watch the entire content.

MemFree is a hybrid AI search tool that allows users to search for information instantly and receive accurate answers from the internet, bookmarks, notes, and documents. With MemFree, users can easily index their bookmarks and web pages with just one click. The tool leverages GPT-4o mini for enhanced search capabilities, making it a powerful and efficient AI application for information retrieval.

Fluent is an AI-powered data analytics platform that helps businesses explore their data and uncover insights. It uses natural language processing to understand user questions and generate SQL queries to retrieve data from a variety of sources. Fluent also provides visualizations and dashboards to help users understand their data and make informed decisions.

Mindset AI is an AI tool that enables users to create AI agents in seconds using simple language. It helps speed up teams' work by allowing the creation of AI agents without the need for coding. Users can write, retrieve information, brainstorm, and more securely using their company's knowledge in a collaborative workspace. Mindset AI offers features such as AI agent builder, integrated knowledge banks, guided conversational search, capabilities for process description, and AI model selector.

Callin.io is an innovative AI solution that offers AI-driven virtual phone agents and assistants to enhance customer engagement and support. The platform provides customizable AI voice agents tailored to meet the specific needs of businesses, handling inbound and outbound customer conversations efficiently. With features like answering missed calls, assisting with appointment bookings, and responding to FAQs, Callin.io aims to revolutionize customer service operations and improve overall customer experience. The AI technology is designed to seamlessly integrate with existing CRM solutions and call center technology, providing real-time call transcripts and valuable insights from every conversation.

ExplainDev is a platform that allows users to ask and answer technical coding questions. It uses computer vision to retrieve technical context from images or videos. The platform is designed to help developers get the best answers to their technical questions and guide others to theirs.

Fineguide.ai is a platform that enables individuals and business owners to integrate AI chat assistants onto their websites. It simplifies the process of creating virtual assistants, providing learning information, and integrating them seamlessly into websites. The AI assistants can enhance efficiency by offering instant customer support, information retrieval, employee onboarding, event scheduling, e-commerce sales boost, and lead generation. The platform also offers enterprise-quality features, customizable chat interface, custom widgets support, and easy integrations with various tools and platforms.

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.

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.

Olivia is a health application designed to simplify and personalize your health journey. It helps users manage their health data, connect with healthcare providers, and track their health metrics. Olivia's AI-enabled assistant provides personalized support by summarizing medical records, answering questions about medical guidelines, and offering insights on conditions and treatments. The application aims to alleviate the burden of managing health information and empower users to receive the best care possible.

RAGnexus is a company that specializes in creating personalized AI assistants using RAG (Retriever-Augmented Generation) technology. Their assistants are designed to provide highly personalized and contextually relevant responses to clients' individual needs. RAGnexus uses private information provided by customers to ensure that responses are accurate and tailored to each specific use case. Retriever-Augmented Generation (RAG) technology uses a two-step approach for generating responses: first, it retrieves relevant information from a database, and then it uses that information to generate accurate and context-specific answers.

Glean is an AI-powered work assistant that helps teams harness generative AI and make better decisions faster. It connects all of your company's data across all of the content, people, and interactions in your organization. Glean's advanced personalization ensures that answers are tailored to who you are, who you work with, and what you're working on. Its Retrieval Augmented Generation (RAG) retrieves the most relevant information and ensures that LLMs answer with the most up-to-date knowledge.

Hypertype is an AI-powered email assistant that helps businesses save time and improve the quality of their customer communications. It automatically drafts emails with the most relevant information retrieved from your data, in seconds. This can save you up to 70% of the time you spend drafting emails, and it can also help you to provide more personalized and effective responses to your customers. Hypertype is used by over 2,000 businesses worldwide, and it has been featured in Forbes, The Wall Street Journal, and The New York Times.

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 technology. 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 PDFs, images, scans, digital documents, and text files, providing increased flexibility and efficiency in data extraction tasks.

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.

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.

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.

Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

This repository contains a sophisticated deterministic graph-based solution for answering complex questions using a controllable autonomous agent. The solution is designed to ensure that answers are solely based on the provided data, avoiding hallucinations. It involves various steps such as PDF loading, text preprocessing, summarization, database creation, encoding, and utilizing large language models. The algorithm follows a detailed workflow involving planning, retrieval, answering, replanning, content distillation, and performance evaluation. Heuristics and techniques implemented focus on content encoding, anonymizing questions, task breakdown, content distillation, chain of thought answering, verification, and model performance evaluation.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

Renumics RAG is a retrieval-augmented generation assistant demo that utilizes LangChain and Streamlit. It provides a tool for indexing documents and answering questions based on the indexed data. Users can explore and visualize RAG data, configure OpenAI and Hugging Face models, and interactively explore questions and document snippets. The tool supports GPU and CPU setups, offers a command-line interface for retrieving and answering questions, and includes a web application for easy access. It also allows users to customize retrieval settings, embeddings models, and database creation. Renumics RAG is designed to enhance the question-answering process by leveraging indexed documents and providing detailed answers with sources.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

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.

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.

Web-LLM Assistant is a simple web search assistant that leverages a large language model (LLM) running via Llama.cpp to provide informative and context-aware responses to user queries. It combines the power of LLMs with real-time web searching capabilities, allowing it to access up-to-date information and synthesize comprehensive answers. The tool performs web searches, collects and scrapes information from search results, refines search queries, and provides answers based on the acquired information. Users can interact with the tool by asking questions or requesting web searches, making it a valuable resource for obtaining information beyond the LLM's training data.

WebScout is a versatile tool that allows users to search for anything using Google, DuckDuckGo, and phind.com. It contains AI models, can transcribe YouTube videos, generate temporary email and phone numbers, has TTS support, webai (terminal GPT and open interpreter), and offline LLMs. It also supports features like weather forecasting, YT video downloading, temp mail and number generation, text-to-speech, advanced web searches, and more.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

Ask Astro is an open-source reference implementation of Andreessen Horowitz's LLM Application Architecture built by Astronomer. It provides an end-to-end example of a Q&A LLM application used to answer questions about Apache Airflow® and Astronomer. Ask Astro includes Airflow DAGs for data ingestion, an API for business logic, a Slack bot, a public UI, and DAGs for processing user feedback. The tool is divided into data retrieval & embedding, prompt orchestration, and feedback loops.

Awesome RAG is a curated list of retrieval-augmented generation (RAG) in large language models. It includes papers, surveys, general resources, lectures, talks, tutorials, workshops, tools, and other collections related to retrieval-augmented generation. The repository aims to provide a comprehensive overview of the latest advancements, techniques, and applications in the field of RAG.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

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.

I browse docs to answer Svelte & Supabase queries.

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.

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.