5 Must-Have Knowledge Graph AIs for Non-Profit Organizations

DeepAI offers a free, open‑source collection of generative AI tools that developers and creative professionals can integrate into their own workflows. The platform’s most visible feature is its Chat API, which provides a conversational interface powered by state‑of‑the‑art language models, allowing quick prototyping of customer support or information retrieval bots. In addition to chat, DeepAI supplies image generation, video creation, music composition, voice‑to‑text conversion, and photo editing tools—all accessible via simple HTTP endpoints. Developers can combine these modalities to build custom knowledge‑base experiences, although the platform does not provide a built‑in knowledge graph or persistence layer. Users can upload documents to the RAG endpoint, enabling the model to retrieve facts from uploaded PDFs or text files, but the graph relationships between concepts are not automatically inferred. The service offers a generous free tier for experimentation, with paid plans available for higher request volumes and priority support, though specific pricing details are not publicly listed. DeepAI’s key strengths lie in its breadth of modalities, API‑first design, and zero‑cost entry point, while its limitations include a lack of dedicated chatbot orchestration, no built‑in analytics dashboard, and no long‑term memory across sessions.

Quidget.ai is a modular AI platform that focuses on automating customer support and sales workflows across multiple channels. Its core offering is a live‑chat widget that can be embedded on websites, coupled with an AI Agent Platform that can be trained on custom data sets. Quidget also supports a voice AI engine for spoken interactions, an internal AI assistant for internal knowledge sharing, and a range of integrations that connect to popular CRMs, help desks, and e‑commerce platforms. The platform’s drag‑and‑drop interface allows non‑technical users to configure flows and triggers, while developers can extend functionality via webhooks. Quidget’s AI courses feature is still in beta, but the company promises future support for AI‑driven tutoring. Pricing is tiered: a free starter plan with limited message volume, followed by paid plans that scale with usage; detailed pricing is available upon request. Quidget’s strengths include its cross‑channel coverage, integration ecosystem, and ease of deployment, but it falls short of offering a built‑in knowledge graph, persistent memory, or advanced analytics, and its WYSIWYG customization is limited compared to dedicated chatbot builders.

Google Gemini is Google’s flagship generative AI offering, built on the Gemini LLM and integrated tightly with the Google ecosystem. Gemini chat provides conversational AI that can answer questions, generate content, and integrate with Google Workspace tools such as Docs, Sheets, and Gmail. The model supports multimodal inputs—including text, images, and audio—allowing users to ask for image generation or voice transcriptions. Gemini also offers a web browsing capability that can pull up‑to‑date information from the internet, making it useful for real‑time knowledge lookup. While Gemini does not come with a pre‑built knowledge graph, developers can ingest structured data into the model using prompt engineering, but graph relationships are not automatically built. Pricing is free for basic access, with higher‑volume usage available through Google Cloud Platform, where pricing depends on compute and API calls. Gemini’s biggest strengths are its advanced multimodal capabilities, tight integration with Google services, and the ability to browse for fresh data. Its limitations include a lack of built‑in chatbot orchestration, no custom WYSIWYG editor, and limited persistence across sessions.

ChatGPT, developed by OpenAI, is a conversational AI that uses the GPT‑4 language model to provide natural language responses across a wide range of topics. The platform offers a simple chat interface that can be embedded via the OpenAI API, making it suitable for customer support, content creation, and educational tutoring. ChatGPT can generate code, explain complex concepts, translate languages, and draft emails, but it does not provide a built‑in knowledge graph or persistence layer for storing long‑term context. Instead, each conversation is stateless, with context limited to the current session, unless developers prepend conversation history manually. The service offers a free tier with limited usage, a $20/month Plus plan for more capacity, and enterprise options that include dedicated SLAs, custom model training, and compliance features. ChatGPT’s strengths are its powerful language understanding, ease of integration, and broad community support. Its weaknesses include the lack of a visual editor for custom widgets, no long‑term memory across sessions, limited analytics, and no native knowledge‑graph support.