关于“Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini”的评价

Broken. Junk.

Jim B. · 评论4 months之前

Swathi M. · 评论4 months之前

Lab was fixed and is working now

Kamila B. · 评论4 months之前

Piotr Z. · 评论4 months之前

Harold M. · 评论4 months之前

Walter C. · 评论4 months之前

Step Create Document chunks took over an hour (still couldn't get a Task Complete on it), unable to finish this lab since the remaining steps also take a lot of time

Kamila B. · 评论4 months之前

the "Load documentation pages using the LangChain UnstructuredURLLoader" never completes

Adrian B. · 评论4 months之前

Horrible, did not work at all.

Ricardo B. · 评论4 months之前

Deepti S. · 评论4 months之前

Unable to complete step 1 in time allocated, neither can access more powerful CPUs. Reduced the array to smaller number of sites and then loaded and chunked the content, yet unable to mark the first task as complete.

Angshuman D. · 评论4 months之前

Got stuck running

Kody M. · 评论4 months之前

Already in task 1 - Load documentation pages using the LangChain UnstructuredURLLoader, I receive an import error File /opt/conda/lib/python3.10/site-packages/langchain/_api/module_import.py:69, in create_importer.<locals>.import_by_name(name) 68 try: ---> 69 module = importlib.import_module(new_module) 70 except ModuleNotFoundError as e:

Nico C. · 评论4 months之前

The code has bugs and very slow. Getting the documents takes much longer than "a few minutes". It didn't happen even in tens of minutes, so my time is finished. I run this lab the second time and it still does not fit into 90 minutes :( I tried it the third time, it still does not fit into 90m. Worse, the first check does not work :( I don't want to try this lab anymore, it's just a waste of time :((

Grigory S. · 评论4 months之前

waste of time, created all document chunk but still cannot complete task 1

Ong P. · 评论4 months之前

The notebook was stuck while loading the documents

Lav J. · 评论4 months之前

I couldn't finish it

Patricio F. · 评论4 months之前

Walter C. · 评论4 months之前

The creation of the batches was super long (more than 20 minutes) so I decided to create embeddings for only 10 batches

Yandi A. · 评论4 months之前

Sathya Narayanan B. · 评论4 months之前

Got stuck running

Kody M. · 评论4 months之前