Best AI tools for< Query For Knowledge >

AutoKT is an AI-powered application designed for Automatic Knowledge Transfer. It helps in effortless documentation by automatically writing and updating documentation, allowing users to focus on building innovative projects. The tool addresses the challenge of time and bandwidth spent on writing and maintaining documentation in agile workplaces. AutoKT ensures asynchronous knowledge transfer by keeping documentation in sync with code changes and providing a query feature for easy access to information. It is a valuable tool for developers, enabling them to understand legacy code, streamline documentation writing, and facilitate faster onboarding of new team members.

PrivacyDoc is an AI-powered portal that allows users to analyze and query PDF and ebooks effortlessly. By leveraging advanced NLP technology, PrivacyDoc enables users to uncover insights and conduct thorough document analysis. The platform offers features such as easy file upload, query functionality, enhanced security measures, and free access to powerful PDF analysis tools. With PrivacyDoc, users can experience the convenience of logging in with their Google account, submitting queries for prompt AI-driven responses, and ensuring data privacy with secure file handling.

Vanna.AI is a personalized AI SQL agent that allows users to get actionable insights from their database by simply asking questions. It helps users to write SQL queries efficiently and generate insights without the need for expert SQL knowledge. The application is open-source, highly accurate on complex datasets, designed for security, self-learning, and supports various databases. Vanna.AI is fully customizable to match unique needs and offers enterprise customization options.

AI2SQL is an AI-powered SQL query builder and generator that allows users to create, optimize, and automate SQL queries without the need for expert skills. The tool transforms natural language instructions into precise SQL and NoSQL queries, simplifying database design and enhancing query performance. With features like text to SQL conversion, SQL query optimization, and formula generation, AI2SQL streamlines complex operations and provides data insights for efficient analysis.

scatteredNote is an AI-powered note-taking application designed to help users effortlessly grab content and take notes while focusing on their main tasks. The application aims to make note-taking a seamless by-product of the user's main activities, ensuring minimal distraction. With features like Atomic Embrace mental model, Extended memory with AI integration, and simple UI, scatteredNote offers a user-friendly experience for organizing and accessing archived knowledge. The application supports various capture modes, including YouTube Capture, VS-Code Capture, Web-mode Capture, and Pdf-mode capture, along with AI chat and Ai-space repetition functionalities. Users can easily organize their notes, create flashcards, and access information quickly with the help of AI technology.

QueryHub is an AI-powered web application designed to assist students in their academic endeavors. It provides a platform for users to ask and answer questions, collaborate with peers, and access instant and accurate information through AI chatbot assistance and smart search capabilities. QueryHub aims to empower students by offering a personalized learning experience, accelerating learning through document collaboration, and fostering community collaboration. With a user-friendly interface and a focus on user-driven innovation, QueryHub is a valuable tool for enhancing academic success.

Loata is an AI-powered platform that serves as a learning orchestrator for adaptive text analyses. It allows users to store their notes and documents in the cloud, which are then ingested and transformed into knowledge bases. The platform features smart AI agents powered by LLMs to provide intelligent answers based on the content. With end-to-end encryption and controlled ingestion, Loata ensures the security and privacy of user data. Users can choose from different subscription plans to access varying levels of storage and query capacity, making it suitable for individuals and professionals alike.

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others. Wikidata also provides support to many other sites and services beyond just Wikimedia projects!

Storytell.ai is an enterprise-grade AI platform that offers Business-Grade Intelligence across data, focusing on boosting productivity for employees and teams. It provides a secure environment with features like creating project spaces, multi-LLM chat, task automation, chat with company data, and enterprise-AI security suite. Storytell.ai ensures data security through end-to-end encryption, data encryption at rest, provenance chain tracking, and AI firewall. It is committed to making AI safe and trustworthy by not training LLMs with user data and providing audit logs for accountability. The platform continuously monitors and updates security protocols to stay ahead of potential threats.

Doubtclear.ai is an AI-powered platform designed to provide personalized doubt clearing services to users. The platform leverages advanced artificial intelligence algorithms to analyze user queries and provide accurate and timely solutions. With a user-friendly interface, Doubtclear.ai aims to enhance the learning experience by offering instant clarification on a wide range of topics. Whether you are a student seeking academic assistance or an individual looking to expand your knowledge, Doubtclear.ai is your go-to solution for clearing doubts effectively.

Trampoline is an AI-native proposal manager designed for sales teams to streamline the process of creating sales proposals. It leverages AI technology to help businesses excel at handling RFPs efficiently, saving valuable time and resources. Trampoline's innovative approach includes 'content upcycling' to quickly prepare necessary information, onboard new team members rapidly, and facilitate knowledge sharing within the organization. With features like semantic search, direct query forwarding, and expert contributions, Trampoline aims to revolutionize the way sales proposals are created and managed.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps reduce time to response, correlates events across sources, and provides automated insights for faster issue resolution. With features like simple data querying, automated anomaly detection, and integration with existing systems, Resolvd streamlines incident response and empowers developers to focus on critical problems. The platform enhances efficiency, accuracy, and collaboration in handling on-call incidents.

Floom.ai is an AI Marketplace for apps that allows users to easily add AI functions to their applications in just 5 minutes, without requiring any prior AI knowledge. The platform offers a variety of AI functions developed by the community, such as text translation, classification, summarization, keyword extraction, social media post generation, code explanation, code conversion, code improvement, physical address extraction, and SQL query generation. Floom.ai aims to empower developers and businesses to enhance their applications with AI capabilities through a user-friendly and efficient marketplace.

Echobase is an AI tool designed to easily integrate AI into businesses by allowing teams to query, create, and analyze data from their files. It offers advanced AI models tailored to specific business needs, enabling the creation of AI agents capable of tasks like basic Q&A, data analysis, and content creation. Echobase provides a centralized workspace for uploading and querying organizational knowledge bases in real-time, along with features for collaboration and role management. The tool prioritizes data security through robust encryption, API usage, and user-controlled data access.

StartConvo is an AI tool that allows users to create custom AI chatbots for websites to enhance customer support, engagement, and user experience. The platform offers easy integration, intelligent query resolution, performance analytics, customizable responses, and 24/7 availability. Users can design tailored chatbots, connect to a knowledge base, and gain deep insights into customer interactions. StartConvo revolutionizes customer service by automating tasks, freeing up team members for high-value activities, and providing round-the-clock support.

AI Brain Bank is a powerful tool that allows you to remember everything. With AI Brain Bank, you can query all your documents, media, and knowledge with AI. This makes it easy to find the information you need, when you need it. AI Brain Bank is the perfect tool for students, researchers, and anyone else who needs to manage a large amount of information.

Leena AI is a Gen AI employee assistant that reduces IT, HR, Finance tickets. It guarantees a 70% self-service ratio in the contract. Leena AI centralizes knowledge that is scattered across the enterprise, making information easy to find right on chat with a simple query. The knowledge is auto-updated when changes are made, so your employees always get support that is both relevant and accurate. Leena AI integrates with all knowledge base systems within your enterprise from day one, eliminating the need for any consolidation or migration effort across the knowledge base systems. The work assistant tailors responses to employee queries based on their role, team and access level which boosts employee experience while adhering to security protocols and preventing unauthorized access to information. Leena AI analyzes historically closed tickets and learns from their resolutions to create knowledge articles that can prevent similar tickets from being raised again. Leena AI breaks down large policy documents and knowledge articles into consumable snippets so the responses are sharper and more specific to the employee’s query.

SoraPrompt is an AI model that can create realistic and imaginative scenes from text instructions. It is the latest text-to-video technology from the OpenAI development team. Users can compile text prompts to generate video query summaries for efficient content analysis. SoraPrompt also allows users to share their interests and ideas with others.

Accio is a data modeling tool that allows users to define consistent relationships, metrics, and expressions for on-the-fly computations in reports and dashboards across various BI tools. It provides a syntax similar to GraphQL that allows users to define models, relationships, and metrics in a human-readable format. Accio also offers a user-friendly interface that provides data analysts with a holistic view of the relationships between their data models, enabling them to grasp the interconnectedness and dependencies within their data ecosystem. Additionally, Accio utilizes DuckDB as a caching layer to accelerate query performance for BI tools.

SQLAI.ai is a professional SQL multi-tool that leverages AI technology to generate, fix, explain, and optimize SQL queries and databases. It enables users to interact with SQL using everyday language, effortlessly train AI to understand database schemas, and benefit from AI-driven recommendations for query optimization. The platform caters to a wide range of users, from beginners to experts, by simplifying SQL tasks and providing valuable insights for database management. With features like generating SQL data, data analytics, and real-time data insights, SQLAI.ai revolutionizes the way users interact with databases, making SQL tasks simpler, more efficient, and accessible to all.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

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 repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

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.

Simba is an open source, portable Knowledge Management System (KMS) designed to seamlessly integrate with any Retrieval-Augmented Generation (RAG) system. It features a modern UI and modular architecture, allowing developers to focus on building advanced AI solutions without the complexities of knowledge management. Simba offers a user-friendly interface to visualize and modify document chunks, supports various vector stores and embedding models, and simplifies knowledge management for developers. It is community-driven, extensible, and aims to enhance AI functionality by providing a seamless integration with RAG-based systems.

RAGHub is a community-driven project focused on cataloging new and emerging frameworks, projects, and resources in the Retrieval-Augmented Generation (RAG) ecosystem. It aims to help users stay ahead of changes in the field by providing a platform for the latest innovations in RAG. The repository includes information on RAG frameworks, evaluation frameworks, optimization frameworks, citation frameworks, engines, search reranker frameworks, projects, resources, and real-world use cases across industries and professions.

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.

ATLAS (Adaptive Task & Logic Automation System) is a high-performance Model Context Protocol server designed for LLMs to manage complex task hierarchies. Built with TypeScript, it features ACID-compliant storage, efficient task tracking, and intelligent template management. ATLAS provides LLM Agents task management through a clean, flexible tool interface. The server implements the Model Context Protocol (MCP) for standardized communication between LLMs and external systems, offering hierarchical task organization, task state management, smart templates, enterprise features, and performance optimization.

Welcome to AIHelp.bot, your versatile assistant for any query. Whether it's a general knowledge question, a technical issue, or something more obscure, I'm here to help. Please type your question below, and I'll use my resources to find the best possible answer.

The KQL Query Helper GPT is tailored specifically for assisting users with Kusto Query Language (KQL) queries. It leverages extensive knowledge from Azure Data Explorer documentation to aid users in understanding, reviewing, and creating new KQL queries based on their prompts.

A helpful and knowledgeable programming assistant for coding queries and guidance.

Aids in SPARQL queries for Semantic-Art's Gist Ontology

Expert in Power Query and DAX for Power BI, offering in-depth guidance and insights

I'm your guide for any query and information related to TikTok Ads. Let's build your new campaign together!

Expert in brief, direct SQL queries for BigQuery, with casual professional tone.

Helps get map data from Open Street Map by generating Overpass Turbo queries. Ask me for mapping features like cafes, rivers or highways

Looper query strings assistant

Specializes in web searches for chat.openai.com using specific query format.

Specialist for technical and editorial TYPO3 support. // FEATURES: Optional browsing via external api with 'web: search query' and optimized GitHub access.

A sales enablement assistant for content creation and query resolution.

Query BCorp company data. All data is publicly available. United Kingdom only (for now).

“Data Deep Dive”: This is an expert AI tool for Excel and Power BI. Get expert help with DAX, Power Query, VBA, data models, and visualizations. Ideal for all levels: from basic functions to advanced analytics.

Answers in query language, adds Korean translation and phonetics for non-Korean queries.

I'm a pro paid search tool that finds negative keywords for you from Google Ads search query data. I can quickly save you a lot of money in Google paid search. Let's have a SEM party.

Crafts prompts and provides answers using GPT-4, DALL-E 3, code interpreter, or Bing. Begin your query with "I need a prompt for" and then describe what you're looking for. If needed, request further refinement, and then simply paste the final prompt into the chat for tailored, high-quality outputs.

BigQueryGPT aids in mastering BigQuery SQL with concise, practical examples. Tailored for all skill levels, it simplifies complex queries, offering clear explanations and optimized solutions for efficient learning and query troubleshooting.

Trained on learn.microsoft.com content including Azure Functions, Logic Apps, DAX, Dynamics365, Microsoft 365, Compliance, ODATA, Power Agents, Apps, Automate, BI, Pages, Query, Power Platform Administration, Developer, Guidance

SQL Mentor for PostgreSQL