DSPy Use Cases
We often get questions like "How are people using DSPy in practice?", both in production and for research. This list was created to collect a few pointers and to encourage others in the community to add their own work below.
This list is ever expanding and highly incomplete (WIP)! We'll be adding a bunch more. If you would like to add your product or research to this list, please make a PR.
Table of Contents
- Company Use Cases
- Research Papers using DSPy
- Open-Source Software using DSPy
- Providers with DSPy support
- Blogs & Videos on using DSPy
A Few Company Use Cases
| Name | Use Cases |
|---|---|
| JetBlue | Multiple chatbot use cases. Blog |
| Replit | Synthesize diffs using code LLMs using a DSPy pipeline. Blog |
| Databricks | Research, products, and customer solutions around LM Judges, RAG, classification, and other applications. Blog Blog II |
| Sephora | Undisclosed agent usecases; perspectives shared in DAIS Session. |
| Zoro UK | E-commerce applications around structured shopping. Portkey Session |
| VMware | RAG and other prompt optimization applications. Interview in The Register. Business Insider. |
| Haize Labs | Automated red-teaming for LLMs. Blog |
| Plastic Labs | Different pipelines within Honcho. Blog |
| PingCAP | Building a knowledge graph. Article |
| Salomatic | Enriching medical reports using DSPy. Blog |
| Truelaw | How Truelaw builds bespoke LLM pipelines for law firms using DSPy. Podcast |
| Moody's | Leveraging DSPy to optimize RAG systems, LLM-as-a-Judge, and agentic systems for financial workflows. |
| Normal Computing | Translate specs from chip companies from English to intermediate formal languages |
| Procure.FYI | Process messy, publicly available technology spending and pricing data via DSPy. |
| RadiantLogic | AI Data Assistant. DSPy is used for the agent that routes the query, the context extraction module, the text-to-sql conversion engine, and the table summarization module. |
| Raia | Using DSPy for AI-powered Personal Healthcare Agents. |
| Hyperlint | Uses DSPy to generate technical documentation. DSPy helps to fetch relevant information and synthesize that into tutorials. |
| Starops & Saya | Building research documents given a user's corpus. Generate prompts to create more articles from example articles. |
| Tessel AI | Enhancing human-machine interaction with data use cases. |
| Dicer.ai | Uses DSPy for marketing AI to get the most from their paid ads. |
| Howie | Using DSPy to automate meeting scheduling through email. |
| Isoform.ai | Building custom integrations using DSPy. |
| Trampoline AI | Uses DSPy to power their data-augmentation and LM pipelines. |
| Pretrain | Uses DSPy to automatically optimize AI performance towards user-defined tasks based on uploaded examples. |
WIP. This list mainly includes companies that have public posts or have OKed being included for specific products so far.
A Few Papers Using DSPy
| Name | Description |
|---|---|
| STORM | Writing Wikipedia-like Articles From Scratch. |
| PATH | Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels |
| WangLab @ MEDIQA | UofT's winning system at MEDIQA, outperforms the next best system by 20 points |
| UMD's Suicide Detection System | Outperforms 20-hour expert human prompt engineering by 40% |
| IReRa | Infer-Retrieve-Rank: Extreme Classification with > 10,000 Labels |
| Unreasonably Effective Eccentric Prompts | General Prompt Optimization |
| Palimpzest | A Declarative System for Optimizing AI Workloads |
| AI Agents that Matter | Agent Efficiency Optimization |
| EDEN | Empathetic Dialogues for English Learning: Uses adaptive empathetic feedback to improve student grit |
| ECG-Chat | Uses DSPy with GraphRAG for medical report generation |
| DSPy Assertions | Various applications of imposing hard and soft constraints on LM outputs |
| DSPy Guardrails | Reduce the attack success rate of CodeAttack, decreasing from 75% to 5% |
| Co-STORM | Collaborative STORM: Generate Wikipedia-like articles through collaborative discourse among users and multiple LM agents |
A Few Repositories (or other OSS examples) using DSPy
| Name | Description/Link |
|---|---|
| Stanford CS 224U Homework | Github |
| STORM Report Generation (10,000 GitHub stars) | Github |
| DSPy Redteaming | Github |
| DSPy Theory of Mind | Github |
| Indic cross-lingual Natural Language Inference | Github |
| Optimizing LM for Text2SQL using DSPy | Github |
| DSPy PII Masking Demo by Eric Ness | Colab |
| DSPy on BIG-Bench Hard Example | Github |
| Building a chess playing agent using DSPy | Github |
| Ittia Research Fact Checking | Github |
| Strategic Debate via Tree-of-Thought | Github |
| Sanskrit to English Translation App | Github |
| DSPy for extracting features from PDFs on arXiv | Github |
| DSPygen: DSPy in Ruby on Rails | Github |
| DSPy Inspector | Github |
| DSPy with FastAPI | Github |
| DSPy for Indian Languages | Github |
| Hurricane: Blog Posts with Generative Feedback Loops! | Github |
| RAG example using DSPy, Gradio, FastAPI, and Ollama | Github |
| Synthetic Data Generation | Github |
| Self Discover | Github |
TODO: This list in particular is highly incomplete. There are a couple dozen other good ones.
A Few Providers, Integrations, and related Blog Releases
| Name | Link |
|---|---|
| Databricks | Link |
| Zenbase | Link |
| LangWatch | Link |
| Gradient | Link |
| Snowflake | Link |
| Langchain | Link |
| Weaviate | Link |
| Qdrant | Link |
| Weights & Biases Weave | Link |
| Milvus | Link |
| Neo4j | Link |
| Lightning AI | Link |
| Haystack | Link |
| Arize | Link |
| LlamaIndex | Link |
| Langtrace | Link |
| Langfuse | Link |
A Few Blogs & Videos on using DSPy
| Name | Link |
|---|---|
| Blog Posts | |
| Why I bet on DSPy | Blog |
| Not Your Average Prompt Engineering | Blog |
| Why I'm excited about DSPy | Blog |
| Achieving GPT-4 Performance at Lower Cost | Link |
| Prompt engineering is a task best left to AI models | Link |
| What makes DSPy a valuable framework for developing complex language model pipelines? | Link |
| DSPy: A new framework to program your foundation models just by prompting | Link |
| Intro to DSPy: Goodbye Prompting, Hello Programming | Link |
| DSPyGen: Revolutionizing AI | Link |
| Building an AI Assistant with DSPy | Link |
| Videos | |
| DSPy Explained! (60K views) | Link |
| DSPy Intro from Sephora (25K views) | Link |
| Structured Outputs with DSPy | Link |
| DSPy and ColBERT - Weaviate Podcast | Link |
| SBTB23 DSPy | Link |
| Optimization with DSPy and LangChain | Link |
| Automated Prompt Engineering + Visualization | Link |
| Transforming LM Calls into Pipelines | Link |
| NeurIPS Hacker Cup: DSPy for Code Gen | Link |
| MIPRO and DSPy - Weaviate Podcast | Link |
| Getting Started with RAG in DSPy | Link |
| Adding Depth to DSPy Programs | Link |
| Programming Foundation Models with DSPy | Link |
| DSPy End-to-End: SF Meetup | Link |
| Monitoring & Tracing DSPy with Langtrace | Link |
| Teaching chat models to solve chess puzzles using DSPy + Finetuning | Link |
TODO: This list in particular is highly incomplete. There are dozens of other good ones. To allow space, divide into opintionated blogs / podcasts / interviews vs. tutorials & talks.
Credit: Some of these resources were originally compiled in the Awesome DSPy repo.
Weaviate has a directory of 10 amazing notebooks and 6 podcasts!
Huge shoutout to them for the massive support ❤️. See the Weaviate DSPy directory.