Best AI tools for< answer rfps >

Vendorful is an AI-powered tool that helps businesses win RFPs, RFIs, and security questionnaires faster and more efficiently. It uses natural language processing and machine learning to understand the semantic meaning of questions and synthesize answers based on your previous responses, white papers, product documents, and more. With Vendorful, you can save time, optimize your responses, and increase your chances of winning more deals.

DealPage is an AI Sales Engineer platform that introduces Paige, the first AI Sales Engineer. Paige assists sales engineers in onboarding, automating administrative tasks, providing technical assistance, and improving efficiency. The platform offers features such as automating RFP responses, generating personalized proposals, answering security questionnaires, and curating a knowledge base. DealPage aims to streamline sales processes, enhance productivity, and provide valuable insights into buyer behavior.

TenderCrunch is an RFP response management software that helps businesses streamline their tenders and win more deals. It provides a centralized library to store and organize all the information needed to respond to RFPs, RFIs, DDQs, and security questionnaires. TenderCrunch also uses AI to help users find the right answer in seconds, collaborate with their team, and answer questions automatically. As a result, businesses can save time, improve the accuracy of their responses, and win more deals.

Ubdroid AI Answer Engine is an AI-powered tool that utilizes various open-source LLMs to provide answers to user queries. It works by processing user queries and fetching relevant information from these LLMs. The accuracy of the answers depends on the quality and relevance of the data provided by the LLMs. The free version of the tool has a request limit of 10 requests per minute. If a model is not working, users can select another model.

Archbee is a documentation platform that helps teams create, publish, and maintain documentation without any help from engineering. It uses generative AI to answer questions instantly for end-users, developers, and teams. Archbee also integrates with all the tools your team is already using, so you can keep all your documentation in one place.

Chatwith is a custom ChatGPT chatbot that can be integrated with your website and files. It can answer questions, perform tasks, and be customized to match your brand. With Chatwith, you can:

ChatNode is a powerful AI chatbot builder that helps businesses create next-generation chatbots that know everything about their business. With ChatNode, businesses can feed their chatbot all of their knowledge base in minutes, train the bot on any URLs or offline documents, and embed the bot anywhere on their website, in a pop-up chat, or on SLACK. ChatNode is packed with cutting-edge features, including live agent handoff, complete customization of the bots to match your brand, multiple data sources, fast and user-friendly testing and deployment, custom prompts, API access, SLACK integration, and support for 95 languages. ChatNode is also GDPR compliant and offers affordable pricing plans for startups and scale-ups.

Slang.ai is a voice AI tool designed specifically for restaurants to intelligently handle phone calls. It allows restaurants to answer questions, take reservations, and provide a seamless customer experience. The tool is built to understand different accents, answer common questions, and manage reservations efficiently. Slang.ai helps restaurants increase reservations, improve ROI, and save time by handling calls 24/7. It offers customizable experiences, real-time analytics, and easy setup within minutes.

Frequentli is an AI tool designed to help businesses answer their customers' product inquiries quickly and efficiently. By utilizing advanced AI technology, Frequentli saves time and increases website engagement by providing instant responses to customer queries. The tool offers a user-friendly interface and easy setup process, making it a valuable asset for businesses looking to enhance their customer support capabilities.

Truffle is an AI-powered tool that helps teams retain knowledge built up in Slack, answer questions, and generate documentation. It utilizes cutting-edge AI to generate documentation from past team conversations, making them easily searchable for everyone. Truffle can be added to a single Slack channel for free, or teams can upgrade to the premium plan for $60/month to use it in unlimited channels.

ChatGitHub is an open source chatbot that can answer questions about GitHub built with OpenAI Functions and Vercel AI SDK. It can perform tasks such as listing comments on issues and pull requests, finding open issues in a repository, summarizing the README of a repository, and summarizing the top issues found in a repository.

Ask2End is an AI-powered question-answering tool that provides comprehensive and accurate answers to any question you may have. It is designed to be user-friendly and accessible, allowing you to get the information you need quickly and easily.

ChatCube is an AI-powered chatbot maker that allows users to create chatbots for their websites without coding. It uses advanced AI technology to train chatbots on any document or website within 60 seconds. ChatCube offers a range of features, including a user-friendly visual editor, lightning-fast integration, fine-tuning on specific data sources, data encryption and security, and customizable chatbots. By leveraging the power of AI, ChatCube helps businesses improve customer support efficiency and reduce support ticket reductions by up to 28%.

The website offers an AI tool called KnowledgeBot that helps businesses save time by providing expert-level responses to repetitive questions. It uses AI to quote directly from experts and content, eliminating the need for manual searching. KnowledgeBot can auto-resolve help requests, find collateral quickly, and discover popular queries from a dashboard. It also assists in capturing insights from informal chats and organizing new information efficiently.

Butterfly iQ3 is a handheld, whole-body ultrasound device that provides clear and detailed images for a variety of medical applications. It is the third-generation probe from Butterfly Network, and it features double the processing power and clearer images than its predecessors. Butterfly iQ3 is also equipped with real-time AI, which can help clinicians to identify and diagnose medical conditions more quickly and accurately. The device is lightweight and portable, making it easy to use in a variety of settings, including the clinic, the hospital, and the field. Butterfly iQ3 is a valuable tool for clinicians who want to improve the quality of care they provide to their patients.

FashionAdvisor.AI is a website that provides fashion advice to users. Users can ask questions about what to wear for different occasions, and the website will provide suggestions. The website also has a blog with articles on fashion trends and tips.

Ask YC is an AI tool that provides users with a platform for asking questions and seeking answers. It offers a user-friendly interface for interacting with the AI system to obtain relevant information. The tool is designed to assist users in finding solutions to their queries efficiently. By leveraging artificial intelligence technology, Ask YC aims to streamline the process of information retrieval and enhance user experience.

AskRobert is a question-and-answer website where users can ask questions and get answers from other users. The site is designed to be a place where people can come to learn and share knowledge. AskRobert is not an AI-powered application, but it does use some AI techniques to improve the user experience. For example, the site uses natural language processing to help users find the most relevant questions and answers. AskRobert also uses machine learning to personalize the user experience by recommending questions and answers that are tailored to each user's interests.

AI Chatting is a free AI chat website that allows users to talk to an AI chatbot and ask it anything. The chatbot is user-friendly and easy to interact with, and it can answer a wide range of questions on various topics, including education, careers, business, lifestyle, and more. AI Chatting also offers a variety of AI writing tools that can help users generate emails, articles, copy, lyrics, scripts, and more with just a few clicks.

ChatWithPDF is an AI-powered tool that allows users to interact with their PDFs and documents in a conversational manner. It can summarize documents, answer questions, and extract key data, making it a valuable tool for researchers, professionals, and students. ChatWithPDF is easy to use, with an intuitive interface and no special skills or knowledge required.

Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

Do-Not-Answer is an open-source dataset curated to evaluate Large Language Models' safety mechanisms at a low cost. It consists of prompts to which responsible language models do not answer. The dataset includes human annotations and model-based evaluation using a fine-tuned BERT-like evaluator. The dataset covers 61 specific harms and collects 939 instructions across five risk areas and 12 harm types. Response assessment is done for six models, categorizing responses into harmfulness and action categories. Both human and automatic evaluations show the safety of models across different risk areas. The dataset also includes a Chinese version with 1,014 questions for evaluating Chinese LLMs' risk perception and sensitivity to specific words and phrases.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

DuckDuckGPT brings the magic of ChatGPT to DDG (powered by GPT-4!). DuckDuckGPT is a browser extension that allows you to use ChatGPT within DuckDuckGo. This means you can ask ChatGPT questions, get help with tasks, and generate creative content, all without leaving DuckDuckGo. DuckDuckGPT is easy to use. Once you have installed the extension, simply type your question into the DuckDuckGo search bar and hit enter. ChatGPT will then generate a response that will appear below the search results. DuckDuckGPT is a powerful tool that can help you with a wide variety of tasks. Here are just a few examples of what you can use it for: * Get help with research * Write essays and other creative content * Translate languages * Get coding help * Answer trivia questions * And much more! DuckDuckGPT is still in development, but it is already a very powerful tool. As GPT-4 continues to improve, DuckDuckGPT will only get better. So if you are looking for a way to make your DuckDuckGo searches more productive, be sure to give DuckDuckGPT a try.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple languages.

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Chat-xiuliu is a bidirectional voice assistant powered by ChatGPT, capable of accessing the internet, executing code, reading/writing files, and supporting GPT-4V's image recognition feature. It can also call DALL·E 3 to generate images. The project is a fork from a background of a virtual cat girl named Xiuliu, with removed live chat interaction and added voice input. It can receive questions from microphone or interface, answer them vocally, upload images and PDFs, process tasks through function calls, remember conversation content, search the web, generate images using DALL·E 3, read/write local files, execute JavaScript code in a sandbox, open local files or web pages, customize the cat girl's speaking style, save conversation screenshots, and support Azure OpenAI and other API endpoints in openai format. It also supports setting proxies and various AI models like GPT-4, GPT-3.5, and DALL·E 3.

Morphic is an AI-powered answer engine with a generative UI. It utilizes a stack of Next.js, Vercel AI SDK, OpenAI, Tavily AI, shadcn/ui, Radix UI, and Tailwind CSS. To get started, fork and clone the repo, install dependencies, fill out secrets in the .env.local file, and run the app locally using 'bun dev'. You can also deploy your own live version of Morphic with Vercel. Verified models that can be specified to writers include Groq, LLaMA3 8b, and LLaMA3 70b.

Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over structured data. It allows you to set up an API from your database that can answer questions in plain English. You can use Dataherald to: * Allow business users to get insights from the data warehouse without going through a data analyst * Enable Q+A from your production DBs inside your SaaS application * Create a ChatGPT plug-in from your proprietary data

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

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, ,'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in less than 3 words,Verb + noun form,in daily spoken language,in lowercase letters).Answer in english languagesname:Awesome-Chinese-LLM readme:# Awesome Chinese LLM   An Awesome Collection for LLM in Chinese 收集和梳理中文LLM相关    自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！ 如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～ 同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

Financial Datasets is an open-source Python library that allows users to create question and answer financial datasets using Large Language Models (LLMs). With this library, users can easily generate realistic financial datasets from 10-K, 10-Q, PDF, and other financial texts. The library provides three main methods for generating datasets: from any text, from a 10-K filing, or from a PDF URL. Financial Datasets can be used for a variety of tasks, including financial analysis, research, and education.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

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**

Discourse AI is a plugin for the Discourse forum software that uses artificial intelligence to improve the user experience. It can automatically generate content, moderate posts, and answer questions. This can free up moderators and administrators to focus on other tasks, and it can help to create a more engaging and informative community.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

A copilot for Procurement, aiding in crafting Statements of Work for RfI/RfP.

Answer anything about SELECT trial

Evidence-based answers to important questions, grounded in interdisciplinary knowledge and diverse perspectives.

will answer your question directly without the bs

Friendly guide for podcasting newbies.

A GPT that guides to answers, never giving them directly.

I will answer all your game of throne related questions, both from books and the TV series.

Answer your question about Fess

Answer a few questions and let JingleBot make the perfect stress-free holiday shopping list. So fun !

Let humans answer difficult questions for which GPT doesn't know the solution yet.

My name is Domingo! I've been a Chihuahua my whole life! I can answer any questions about Chihuahuas you may have. Ask me anything, I want to help!

I answer questions and find related YouTube videos.

Answer concisely, then suggest three related questions.

Using OpenLLMLeaderboard data to answer your questions about LLM. For Currently!

Answer anything about ORBITA-2 trial

provide a number ,you will find the answer

A chatbot designed to answer questions related to ADP 6-22, Army Leadership and the Profession

Technical expert on locomotives, trains, signalling, and railway technology. Can answer questions and draw designs specific to transportation domain.

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.

Create a Frequently Asked Questions GPT to ask and answer questions in full markdown based on keywords, a blog article, relevant article or important terms.