Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Update workshops README.md #157

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 23, 2025
+1 −0
Merged

Update workshops README.md #157

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions workshops/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ We have designed a series of hands-on workshops to take you from zero to hero wi
| Building RAG Applications with MongoDB | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vSN_7zZTqpXSmtUyDalox2kAoealuO4V_aVGqLuTuDKa3I3aJ9nQUdViQKasBNnu2zQVOpT5cubnyFd/pub), [Hands-on Lab](https://mongodb-developer.github.io/ai-rag-lab/) | Learn RAG concepts such as embedding, chunking and vector search. Gain hands-on experience by building a RAG-based chatbot for a technical documentation website. | Python | MongoDB Atlas, Voyage AI, Anthropic/Azure OpenAI/Gemini |
| The A to Z of Building AI Agents | [Slides](https://docs.google.com/presentation/d/e/2PACX-1vRMH-7DLejrxrEgrReZTy4p9sKzN35uTaiDRZ8JAM9xtyLFz-utjJzk97FG8mGI96VEuLPnLZWzq10Q/pub), [Hands-on Lab](https://mongodb-developer.github.io/ai-agents-lab/) | Learn the core concepts of AI agents, such as reasoning, tools, and memory. Gain hands-on experience by buiding a technical documentation AI agent. | Python | MongoDB Atlas, Voyage AI, Anthropic/Azure OpenAI/Gemini, LangGraph |
| Pragmatic LLM Application Development: From RAG Pipelines to AI Agents | [Hands-on Lab](https://github.com/mongodb-developer/GenAI-Showcase/blob/main/notebooks/workshops/Pragmatic_LLM_Application_Introduction_From_RAG_to_Agents_with_MongoDB.ipynb) | Build RAG pipelines and AI agents with and without abstraction frameworks such as LangChain. Also introduces techniques such as prompt compression for optimizing LLM apps. | Python | MongoDB Atlas, OpenAI, LangChain, LLMLingua |
| Building Multimodal AI Agents from Scratch | [Video](https://www.youtube.com/watch?v=640KMYtxCeI), [Hands-on Lab](https://github.com/mongodb-developer/multimodal-agents-lab) | Learn techniques to process multimodal data and build a multimodal AI agent from scratch, no abstractions involved. | Python | Voyage AI, MongoDB Atlas, Gemini |

## Questions?

Expand Down
Loading