Best AI tools for< Call Search Engine >

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

AlphaResearch is an AI-powered search engine and research platform for investors. It provides access to millions of global filings, transcripts, press releases, and reports, and uses machine learning and NLP techniques to extract insights from text data. AlphaResearch helps investors save time on research, understand market sentiment, and make better investment decisions.

Wild Moose is an AI-powered SRE Copilot tool designed to help companies handle incidents efficiently. It offers fast and efficient root cause analysis that improves with every incident by automatically gathering and analyzing logs, metrics, and code to pinpoint root causes. The tool converts tribal knowledge into custom playbooks, constantly improves performance with a system model that learns from each incident, and integrates seamlessly with various observability tools and deployment platforms. Wild Moose reduces cognitive load on teams, automates routine tasks, and provides actionable insights in real-time, enabling teams to act fast during outages.

Pinecone is a vector database that helps power AI for the world's best companies. It is a serverless database that lets you deliver remarkable GenAI applications faster, at up to 50x lower cost. Pinecone is easy to use and can be integrated with your favorite cloud provider, data sources, models, frameworks, and more.

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.

Pinecone is a vector database designed to help power AI applications for various companies. It offers a serverless platform that enables users to build knowledgeable AI applications quickly and cost-effectively. With Pinecone, users can perform low-latency vector searches for tasks such as search, recommendation, detection, and more. The platform is scalable, secure, and cloud-native, making it suitable for a wide range of AI projects.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

30characters is an AI tool designed to help users write effective search ads quickly and effortlessly. It utilizes AI technology to generate headlines, descriptions, call outs, and sitelinks with just a few inputs. The tool is loved by Google Ads experts for its ability to save time, improve ad quality, and streamline the ad creation process. With features like understanding character limits, fine-tuning options, quick import to Google Ads Editor, and support for multiple campaign types, 30characters aims to simplify the ad creation process and enhance ad performance.

Allego Conversation Intelligence is an AI-powered platform that helps revenue teams enhance performance and revenue by analyzing sales conversations. The platform enables users to capture, review, coach, and share valuable insights from conversations with customers. It leverages AI-driven analysis to reveal successful outcomes and provides data-driven performance coaching to improve sales performance. Allego Conversation Intelligence allows users to search, filter, and leverage call intelligence to uncover key moments that impact revenue. Trusted by top companies, the platform offers integrations with existing systems and resources for modern sales teams.

Infinity Call Analytics Software is a cloud-based solution that helps businesses track, analyze, and improve their phone calls. It provides a variety of features, including call tracking, conversation analytics, and smart match. Infinity Call Analytics Software is designed to help businesses make more informed decisions about their marketing and sales efforts, and to improve the customer experience.

A Call Recorder App is a mobile application that allows users to record phone calls on iPhone and Android devices with the best possible quality at a fair price. The app uses IVR technology to record conversations in the cloud and employs ML/AI engine for transcribing audio files into readable text documents. It supports English, Spanish, and French languages for transcription and offers simple pricing without hidden fees. Users can record incoming/outgoing calls, conference calls, and share recordings easily.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

The AI Therapy Call is an AI-driven mental health solution that offers accessible and affordable therapy services merged with life coaching. It provides immediate support through AI-driven empathy, personalized responses, and tailored guidance to improve mental well-being. The service is available 24/7, rooted in cutting-edge technology, and ensures privacy and confidentiality for users. Users can expect transformative experiences and continuous growth in their mental wellness journey.

Vivid is a tool that syncs Figma designs with your codebase by generating and updating UI code. It allows users to submit designs directly in Figma, make edits to generated divs, and sync changes with design updates. Vivid isolates design styles, making it easier for developers to focus on functionality. The tool minimizes style clutter and provides auto-updating code that tracks changes in Figma.

Attention is an AI-powered platform that transforms call recordings into valuable insights and actions for sales teams. It offers features such as generating follow-up emails, updating Salesforce, alerting stakeholders of churn risk, creating coaching scorecards, and more. The platform helps sales teams analyze calls, identify coaching priorities, onboard new team members quickly, align sales messaging, and automate follow-up emails with AI. Attention aims to revolutionize sales workflows by providing real-time actionable intelligence and enhancing productivity.

Babylon Health is a digital healthcare company that provides 24/7 access to virtual doctors, as well as a range of other healthcare services. The company's mission is to make healthcare more accessible, affordable, and convenient for everyone.

interface.ai is an AI platform that offers generative AI solutions and intelligent virtual assistant services tailored for banks and credit unions. The platform aims to optimize call center operations, automate processes, enhance customer and employee experience, and increase revenue for financial institutions. With a focus on conversational AI, voice-based biometrics, and caller-id authentication, interface.ai provides advanced solutions to improve operational efficiency and deliver personalized recommendations to prospects and customers. The platform is designed to handle call volumes, reduce wait times, and provide 24/7 member support, ultimately transforming call centers into revenue centers.

OpenCall.ai is an AI call center application that offers businesses a customized AI solution to handle calls, appointments, and customer inquiries. It streamlines operations, improves customer satisfaction, and increases revenue by eliminating wait times and providing a personalized experience. The AI is tailored to fit different industries like medical, beauty, real estate, and more, ensuring seamless integration with existing processes. OpenCall.ai is easy to deploy, powerful in customization, private in data handling, and reliable in solving common communication challenges.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

Search-R1 is a tool that trains large language models (LLMs) to reason and call a search engine using reinforcement learning. It is a reproduction of DeepSeek-R1 methods for training reasoning and searching interleaved LLMs, built upon veRL. Through rule-based outcome reward, the base LLM develops reasoning and search engine calling abilities independently. Users can train LLMs on their own datasets and search engines, with preliminary results showing improved performance in search engine calling and reasoning tasks.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

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.

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

MiniSearch is a minimalist search engine with integrated browser-based AI. It is privacy-focused, easy to use, cross-platform, integrated, time-saving, efficient, optimized, and open-source. MiniSearch can be used for a variety of tasks, including searching the web, finding files on your computer, and getting answers to questions. It is a great tool for anyone who wants a fast, private, and easy-to-use search engine.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

The collection is actively updated with the help of an internal literature search engine.

Boxcars is a Ruby gem that enables users to create new systems with AI composability, incorporating concepts such as LLMs, Search, SQL, Rails Active Record, Vector Search, and more. It allows users to work with Boxcars, Trains, Prompts, Engines, and VectorStores to solve problems and generate text results. The gem is designed to be user-friendly for beginners and can be extended with custom concepts. Boxcars is actively seeking ways to enhance security measures to prevent malicious actions. Users can use Boxcars for tasks like running calculations, performing searches, generating Ruby code for math operations, and interacting with APIs like OpenAI, Anthropic, and Google SERP.

The Prompt Engineering Holy Grail repository is a curated resource for prompt engineering enthusiasts, providing essential resources, tools, templates, and best practices to support learning and working in prompt engineering. It covers a wide range of topics related to prompt engineering, from beginner fundamentals to advanced techniques, and includes sections on learning resources, online courses, books, prompt generation tools, prompt management platforms, prompt testing and experimentation, prompt crafting libraries, prompt libraries and datasets, prompt engineering communities, freelance and job opportunities, contributing guidelines, code of conduct, support for the project, and contact information.

Chat Nio is a next-generation AIGC one-stop business solution that combines the advantages of frontend-oriented lightweight deployment projects with powerful API distribution systems. It offers rich model support, beautiful UI design, complete Markdown support, multi-theme support, internationalization support, text-to-image support, powerful conversation sync, model market & preset system, rich file parsing, full model internet search, Progressive Web App (PWA) support, comprehensive backend management, multiple billing methods, innovative model caching, and additional features. The project aims to address limitations in conversation synchronization, billing, file parsing, conversation URL sharing, channel management, and API call support found in existing AIGC commercial sites, while also providing a user-friendly interface design and C-end features.

The NVIDIA AI Blueprint for Vulnerability Analysis for Container Security showcases accelerated analysis on common vulnerabilities and exposures (CVE) at an enterprise scale, reducing mitigation time from days to seconds. It enables security analysts to determine software package vulnerabilities using large language models (LLMs) and retrieval-augmented generation (RAG). The blueprint is designed for security analysts, IT engineers, and AI practitioners in cybersecurity. It requires NVAIE developer license and API keys for vulnerability databases, search engines, and LLM model services. Hardware requirements include L40 GPU for pipeline operation and optional LLM NIM and Embedding NIM. The workflow involves LLM pipeline for CVE impact analysis, utilizing LLM planner, agent, and summarization nodes. The blueprint uses NVIDIA NIM microservices and Morpheus Cybersecurity AI SDK for vulnerability analysis.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Trieve is an advanced relevance API for hybrid search, recommendations, and RAG. It offers a range of features including self-hosting, semantic dense vector search, typo tolerant full-text/neural search, sub-sentence highlighting, recommendations, convenient RAG API routes, the ability to bring your own models, hybrid search with cross-encoder re-ranking, recency biasing, tunable popularity-based ranking, filtering, duplicate detection, and grouping. Trieve is designed to be flexible and customizable, allowing users to tailor it to their specific needs. It is also easy to use, with a simple API and well-documented features.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

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

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.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

ChatDev IDE is a tool for building your AI agent, Whether it's NPCs in games or powerful agent tools, you can design what you want for this platform. It accelerates prompt engineering through **JavaScript Support** that allows implementing complex prompting techniques.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

I'm trapped and seeking help via walkie-talkie.

Actor of 'Blackadder' characters with script knowledge.

Assist the use of function calls

Asistente experto en derecho laboral mexicano, ofrece asesoría legal en español.

Expert on Better Call Saul, discusses episodes, characters, and trivia.

Tell me your company and customer and I'll prepare your first call with them!

Analyzes participants from page 1 of Zoom .pdfs

CoD gaming scene specialist for Call of Duty

Je réponds à toutes vos questions sur le jeu Call of Dungeons.

Call me Data- I draw historical parallels to your queries // An education tool // "Nothing new under the sun"

Experto en Call of Duty, ofreciendo estrategias y consejos de juego.

Explore call detail records (CDR) for a variety of PBX platforms including Avaya, Mitel, NEC, and others with this UC trained GPT. Use specific commands to help you expertly navigate and troubleshoot CDR from diverse UC environments.

Your personal GM for 'Call of Cthulhu'

I generate themed video call backgrounds with a central focus.

I'm an always-on-call cloud expert, specializing in solving GCP problems.

Chat with Joshua Lisec's 'So Good They Call You a Fake,' the instant #1 international bestseller.

Your go-to guy for tenancy law. Got a landlord or tenant issue? Better Call Saul

Every been curious about the furry fandom or furries in general? I'm here to help you make an original fursona to call your own! I'll guide you through the process and help you make something original and special.

Replicate Image, Images Mergeve, Imaginative Edit, Style Transfer. Use "Help" for more info. 20+ features of the source image will be transferred. You also can call this GPT via @ in any chat (desktop only).

A formal, businesslike virtual COO, using business jargon in expert advice.