Best AI tools for< Source Knowledge Bases >

Vocode is an open-source voice AI platform that enables users to build, deploy, and scale hyperrealistic voice agents. It offers fully programmable voice bots that can be integrated into workflows without the need for human intervention. With multilingual capability, custom language models, and the ability to connect to knowledge bases, Vocode provides a comprehensive solution for automating actions like scheduling, payments, and more. The platform also offers analytics and monitoring features to track bot performance and customer interactions, making it a valuable tool for businesses looking to enhance customer support and engagement.

Codeligence is an AI tool that enables users to connect their code with artificial intelligence. The platform offers chat and automation features to streamline the integration of AI into coding projects. With Codeligence, users can easily incorporate AI functionalities into their applications, enhancing their capabilities and efficiency.

Gptionary.com is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific content or services at the moment. It is important to note that any references to companies, products, or services on the site are not controlled by GoDaddy.com LLC and do not indicate any association or endorsement by GoDaddy.

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, knowledge distribution, and various AI documentation and Storybook assistants. The platform enables users to train custom AI assistants, embed them into documentation sites, and communicate instantly with the knowledge base. Hermae's process simplifies efficiency improvements by gathering information sources, processing data for AI supplementation, customizing integration, and supporting integration success. The AI assistant helps reduce engineering costs and increase development efficiency across the board.

Knowledge Drive is the world's only self-organizing, self-maintaining, and fully integrated work knowledge system. It utilizes AI technology to automatically build a knowledge base by extracting useful information from documents. The system ensures knowledge freshness, easy access to information, and seamless integration across various platforms like Microsoft Office 365, Google Workspace, and Slack. Knowledge Drive aims to revolutionize knowledge management and boost productivity in teams by providing a central source of truth and eliminating the need for manual documentation.

Cody is an intelligent AI assistant designed to boost team productivity by providing instant answers, support, troubleshooting, and idea generation. It can be trained on your business knowledge base to cater to your specific needs, making it a valuable asset for various departments such as marketing, HR, IT support, business consultancy, creative tasks, sales, training, hiring, customer support, and translation. Cody offers features like prompt manager, focus mode, conversation logs, scratchpad, and source checking, ensuring efficient and tailored assistance. With multilingual capabilities and customizable access controls, Cody prioritizes data security and user experience.

Context is an AI-powered chat tool designed to transform your product documentation into an automated 24/7 tech support bot. It allows you to import content from various sources, install bots on different platforms, and provide round-the-clock automated tech support. With features like GPT-4 enabled responses, multi-source data import, teammate collaboration, and response ranking, Context aims to streamline customer support processes and enhance user experience.

Petal is a document analysis platform powered by generative AI technology. It allows users to chat with their documents, providing fully sourced and reliable answers by linking to their own knowledge bases. Users can train AI on their documents to support their work, ensuring centralized knowledge management and document synchronization. Petal offers features such as automatic metadata extraction, file deduplication, and collaboration tools to enhance productivity and streamline workflows for researchers, faculty, and industry experts.

Merge is a unified platform offering a single API for various integrations such as HR, Payroll, Accounting, Ticketing, CRM, ATS, and File Storage. It enables businesses to streamline data synchronization, automate processes, and leverage powerful AI features to enhance decision-making and operational efficiency. Merge prioritizes security and compliance, adhering to industry standards like SOC 2 Type II, ISO 27001, HIPAA, and GDPR. With a focus on product engineering, GTM strategies, and customer success, Merge empowers organizations to accelerate integration timelines and drive revenue growth.

Kapa.ai is an AI-powered answer engine that transforms your knowledge base into a reliable and production-ready AI assistant. It provides instant and accurate answers to technical product questions, helps improve documentation, and enhances user experience. With over 40 technical source connectors, Kapa.ai optimizes knowledge sources, synthesizes information, and acknowledges limitations when information is unavailable. It is trusted by hundreds of enterprises and startups to power production-ready AI assistants, reducing support hours and improving user experience.

Doctrine is an AI-powered application that allows users to add AI-powered Q&A features to their apps in minutes. It leverages knowledge from data or knowledge bases to answer user questions or embed AI features. With the ability to ingest content from various sources like websites, documents, and images, Doctrine simplifies the process of knowledge extraction and enables seamless integration of AI capabilities into applications.

Motific.ai is a responsible GenAI tool powered by data at scale. It offers a fully managed service with natural language compliance and security guardrails, an intelligence service, and an enterprise data-powered, end-to-end retrieval augmented generation (RAG) service. Users can rapidly deliver trustworthy GenAI assistants and API endpoints, configure assistants with organization's data, optimize performance, and connect with top GenAI model providers. Motific.ai enables users to create custom knowledge bases, connect to various data sources, and ensure responsible AI practices. It supports English language only and offers insights on usage, time savings, and model optimization.

MimicPC is a web-based platform that allows users to run various AI applications directly in their browser without the need for installation. Users can access a wide range of AI tools and applications seamlessly, making it convenient for both professionals and enthusiasts to leverage the power of artificial intelligence. With MimicPC, users can perform tasks such as image recognition, natural language processing, and data analysis with ease.

Documate is an open-source tool designed to make your documentation site intelligent by embedding AI chat dialogues. It allows users to ask questions based on the content of the site and receive relevant answers. The tool offers hassle-free integration with popular doc site platforms like VitePress, Docusaurus, and Docsify, without requiring AI or LLM knowledge. Users have full control over the code and data, enabling them to choose which content to index. Documate also provides a customizable UI to meet specific needs, all while being developed with care by AirCode.

Kaba.ai is an open-source context engine and model facilitator that enables users to create personal knowledge graphs autonomously in a secure and private manner. It offers turnkey mesh compute and storage grids, manages digital memories using zero-copy training, and builds brain-like mechanisms to power intelligent systems based on observable context. The application prioritizes user privacy and data ownership, providing a platform for productivity, research, entertainment, and more.

TextGen is an AI-powered tool that enhances the Obsidian note-taking experience. It provides users with AI-driven templates and smart content generation capabilities, enabling effortless note-taking and streamlined content creation. TextGen is free and open-source, offering unrestricted access to its plugin and encouraging innovation within the community. The collaborative template hub fosters a shared creative space where users can exchange templates and explore new possibilities for generative AI applications in note-taking. TextGen's smart prompt customization feature allows users to tailor prompts based on template metadata, resulting in text outputs that are finely tuned to their specific context and needs. The extensive language model compatibility ensures flexibility, supporting a wide range of language models, including gpt-4-1106-preview (gpt4 turbo) 128k, gpt-3.5-instruct, claude, bard, and llama. The advanced template engine simplifies and enhances the note-taking routine, boosting productivity and efficiency. Optimized for the Obsidian experience, TextGen integrates seamlessly, augmenting personal knowledge management practices.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

Hansei is an AI-powered platform that allows users to chat with their data using AI assistants, create AI ChatBots without coding, and streamline data importing from various sources. It offers customizable and shareable chat widgets, bot customization and integrations, and advanced analytics insights. Hansei is designed to revolutionize the way users interact with their data by providing instant answers to questions and personalized assistance across multiple channels.

PageWise AI is an AI application that provides instant insight into Confluence data by turning tedious searches and repetitive questions into intuitive AI-powered conversations directly in Slack. It offers effortless integration with Slack and Confluence accounts, eliminates the need for sifting through pages, reduces repetitive queries, connects hidden insights within Confluence pages, boosts communication, and scales with business needs. PageWise AI offers flexible pricing plans catering to different team sizes and requirements, with the option for custom integrations, data sources, and self-hosted solutions for enterprise users.

ChatSumo is a cutting-edge chatbot solution that empowers users to build bots using a diverse range of data sources. It offers seamless integration with various platforms, including WhatsApp, Facebook Messenger, HubSpot, and Zapier, allowing for effortless communication across multiple channels. With ChatSumo, businesses can elevate their customer interactions, capture leads, and engage audiences 24/7. Its advanced features, such as Answer Revision and Confidence Scoring, ensure unwavering accuracy and reliability in customer interactions. ChatSumo's customization options enable businesses to tailor their chatbot's appearance and user experience, aligning seamlessly with their brand identity and complementing the aesthetics of their website.

KB Builder is an open-source knowledge base generation system based on the LLM large language model. It utilizes the RAG (Retrieval-Augmented Generation) data generation enhancement method to provide users with the ability to enhance knowledge generation and quickly build knowledge bases based on RAG. It aims to be the central hub for knowledge construction in enterprises, offering platform-based intelligent dialogue services and document knowledge base management functionality. Users can upload docx, pdf, txt, and md format documents and generate high-quality knowledge base question-answer pairs by invoking large models through the 'Parse Document' feature.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

Ragpi is an open-source AI assistant that answers questions using your documentation, GitHub issues, and READMEs. It combines LLMs with intelligent search to provide relevant, documentation-backed answers through a simple API. It supports multiple providers like OpenAI, Ollama, and Deepseek, and has built-in integrations with Discord and Slack. Ragpi builds knowledge bases from docs, GitHub issues, and READMEs, with an agentic RAG system for dynamic document retrieval. It has an API-first design with Docker deployment.

ChatLaw is an open-source legal large language model tailored for Chinese legal scenarios. It aims to combine LLM and knowledge bases to provide solutions for legal scenarios. The models include ChatLaw-13B and ChatLaw-33B, trained on various legal texts to construct dialogue data. The project focuses on improving logical reasoning abilities and plans to train models with parameters exceeding 30B for better performance. The dataset consists of forum posts, news, legal texts, judicial interpretations, legal consultations, exam questions, and court judgments, cleaned and enhanced to create dialogue data. The tool is designed to assist in legal tasks requiring complex logical reasoning, with a focus on accuracy and reliability.

ChatOllama is an open-source chatbot based on LLMs (Large Language Models). It supports a wide range of language models, including Ollama served models, OpenAI, Azure OpenAI, and Anthropic. ChatOllama supports multiple types of chat, including free chat with LLMs and chat with LLMs based on a knowledge base. Key features of ChatOllama include Ollama models management, knowledge bases management, chat, and commercial LLMs API keys management.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

Awesome AI GPTs is an open repository that collects resources and fun ways to use OpenAI GPTs. It includes databases, search tools, open-source projects, articles, attack and defense strategies, installation of custom plugins, knowledge bases, and community interactions related to GPTs. Users can find curated lists, leaked prompts, and various GPT applications in this repository. The project aims to empower users with AI capabilities and foster collaboration in the AI community.

STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases. It provides natural-sounding and practical queries crafted to incorporate rich relational information and complex textual properties, closely mirroring real-life scenarios. The benchmark aims to assess how effectively large language models can handle the interplay between textual and relational requirements in queries, using three diverse knowledge bases constructed from public sources.

LeetTools is an AI search assistant that can perform highly customizable search workflows and generate customized format results based on both web and local knowledge bases. It provides an automated document pipeline for data ingestion, indexing, and storage, allowing users to focus on implementing workflows without worrying about infrastructure. LeetTools can run with minimal resource requirements on the command line with configurable LLM settings and supports different databases for various functions. Users can configure different functions in the same workflow to use different LLM providers and models.

KAG is a logical reasoning and Q&A framework based on the OpenSPG engine and large language models. It is used to build logical reasoning and Q&A solutions for vertical domain knowledge bases. KAG supports logical reasoning, multi-hop fact Q&A, and integrates knowledge and chunk mutual indexing structure, conceptual semantic reasoning, schema-constrained knowledge construction, and logical form-guided hybrid reasoning and retrieval. The framework includes kg-builder for knowledge representation and kg-solver for logical symbol-guided hybrid solving and reasoning engine. KAG aims to enhance LLM service framework in professional domains by integrating logical and factual characteristics of KGs.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology. It helps enterprises and individuals build intelligent Q&A systems based on their own knowledge bases. By combining document retrieval and large language models, it delivers accurate and reliable knowledge-based question-answering services. The system is designed with features like intelligent document management, advanced dialogue engine, and a robust architecture. It supports multiple document formats, async document processing, multi-turn contextual dialogue, and reference citations in conversations. The architecture includes a backend stack with Python FastAPI, MySQL + ChromaDB, MinIO, Langchain, JWT + OAuth2 for authentication, and a frontend stack with Next.js, TypeScript, Tailwind CSS, Shadcn/UI, and Vercel AI SDK for AI integration. Performance optimization includes incremental document processing, streaming responses, vector database performance tuning, and distributed task processing. The project is licensed under the Apache-2.0 License and is intended for learning and sharing RAG knowledge only, not for commercial purposes.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

RAG-GPT is a tool that allows users to quickly launch an intelligent customer service system with Flask, LLM, and RAG. It includes frontend, backend, and admin console components. The tool supports cloud-based and local LLMs, enables deployment of conversational service robots in minutes, integrates diverse knowledge bases, offers flexible configuration options, and features an attractive user interface.

RAG-GPT is a tool that allows users to quickly launch an intelligent customer service system with Flask, LLM, and RAG. It includes frontend, backend, and admin console components. The tool supports cloud-based and local LLMs, offers quick setup for conversational service robots, integrates diverse knowledge bases, provides flexible configuration options, and features an attractive user interface.

CodeFuse-muAgent is a Multi-Agent framework designed to streamline Standard Operating Procedure (SOP) orchestration for agents. It integrates toolkits, code libraries, knowledge bases, and sandbox environments for rapid construction of complex Multi-Agent interactive applications. The framework enables efficient execution and handling of multi-layered and multi-dimensional tasks.

Expert in sourcing and organizing knowledge databases for GPTs.

Upon uploading a research paper, I provide a concise section wise analysis covering Abstract, Lit Review, Findings, Methodology, and Conclusion. I also critique the work, highlight its strengths, and answer any open questions from my Knowledge base of Open source materials.

Defines and explains function calls based on a knowledge source.

As LegalGPT, I'm an AI legal assistant with expertise in law, adaptable for nationwide legal queries. I provide precise, context-sensitive advice based on a rich knowledge source, aiding in legal reasoning and drafting. Note: I'm not a substitute for a lawyer.

SaaS knowledge base bot that prioritizes 100 expert sources (like SaaStr, BVP, OpenView, and Dave Kellogg)

I'm your guide to the internet's vast knowledge. Ask away, and I'll find the best answers with sources.

Constitutional knowledge source

Science expert providing comprehensive, accurate popular science knowledge.

A knowledgeable guide for facts about the world.

Expert on Tesla's AI, robotics, and societal impact.

Your go-to source for Tesla and EV knowledge.

Classifies articles into knowledge domains. source code: https://homun.posetmage.com/Agents/

Expert on pokemon knowledge and tutorials

Surf enthusiast sharing knowledge about techniques and culture.

A GPT with Knowledge of the most recent papers in Machine Learning`

Specialised assistant dedicated to providing in-depth knowledge and insights on Nigerian laws and legal matters.

A scholarly geography resource with extensive knowledge from books and papers.

Answer your question about Fess

Browse the web for the search term and summarize the results from sources

IT products and pricing, for IT professionals.