# LLM and GenAI applications > LLM and GenAI applications - LLM and GenAI applications that you can add to your experiment > workflow. This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context. Companion generated at `2026-05-06T05:15:47.472393+00:00` (UTC). ## Primary page - [LLM and GenAI applications](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/index.html): Full documentation for this topic (HTML). ## Related documentation - [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page. - [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page. - [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page. - [Adaptive agent](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/adaptive-agent.html): Linked from this page. - [Direct Preference Optimization for reinforcement learning](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/rlhf-agent.html): Linked from this page. - [Product feedback automation](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/auto-feedback.html): Linked from this page. - [Teams/Slack chatbots](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/chatbot-teams-slack.html): Linked from this page. - [AI cluster labeling](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/cluster-genai.html): Linked from this page. - [Customer communication AI](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/comm-genai.html): Linked from this page. - [Support workflow optimization](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/customer-support.html): Linked from this page. - [Data annotator app](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/data-annotator.html): Linked from this page. - [AI data prep assistant](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/data-prep-assist.html): Linked from this page. - [JITR bot responses](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/jitr-bot.html): Linked from this page. - [PDF RAG with LLM](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/llm-multimodal-pdf.html): Linked from this page. - [Healthcare conversation agent](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/med-research.html): Linked from this page. - [Teams GenAI integration](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/ms-teams.html): Linked from this page. - [Vector chunk visualization](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/vectorstore-chunk.html): Linked from this page. - [XoT implementation](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/xot-implementation.html): Linked from this page. - [Zero-shot error analysis](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/zero-shot.html): Linked from this page. - [Compliance agent](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/compliance-agent.html): Linked from this page. ## Documentation content # LLM and GenAI applications | Topic | Description | | --- | --- | | Adaptive agent | Showcases an agent's ability to adapt its reasoning behavior based on conversation dynamics. | | Direct Preference Optimization for reinforcement learning | Automates the process of fine-tuning an LLM using Direct Preference Optimization (DPO) and then deploying that model to DataRobot. | | Product feedback automation | Use Predictive AI models in tandem with Generative AI models to overcome the limitation of guardrails around automating the summarization and segmentation of sentiment text. | | Teams/Slack chatbots | Build collaborative app plug-ins, such as bots for Teams and Slack. | | AI cluster labeling | Use cluster insights provided by DataRobot with ChatGPT to provide business- or domain-specific labels to the clusters using OpenAI and DataRobot APIs. | | Customer communication AI | How generative AI models, like GPT-3, can be used to augment predictions and provide customer-friendly subject matter expert responses. | | Support workflow optimization | Use generative AI models to cater to level-one requests, allowing support teams to focus on more pressing and high-visibility requests. | | Data annotator app | Leverage the data annotator app to both label new data and label predicted data within an active learning situation after training a model with DataRobot. | | AI data prep assistant | Use the AI data preparation assistant to streamline and automate the data preparation process. | | JITR bot responses | Create a deployment to provide context-aware answers 'on the fly' using "Just In Time Retrieval" (JITR). | | PDF RAG with LLM | Use an LLM as an OCR tool to extract all the text, table, and graph data from a PDF, then build a RAG and playground chat on DataRobot. | | Healthcare conversation agent | Use Retrieval Augmented Generation to build a conversational agent for Healthcare professionals. | | Teams GenAI integration | With DataRobot's Generative AI offerings, organizations can deploy chatbots without the need for an additional front-end or consumption layers. | | Vector chunk visualization | Implement a Streamlit application to gain insights from a vector database of chunks. | | XoT implementation | Implement and evaluate Everything of Thoughts (XoT) in DataRobot, an approach to make generative AI "think like humans." | | Zero-shot error analysis | Use zero-shot text classification with large language models (LLMs), focusing on its application in error analysis of supervised text classification models. | | Compliance agent | Automatically compare your active governance policies against pre-uploaded industry standards or internal benchmarks to identify inconsistencies. |