# Failure in retrieving content from a backup restored collection created on a different machine **URL:** \ **Category:** Support\ **Created:** [October 5, 2024, 7:25am UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434 "2024-10-05T07:25:29Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![kaushik\_acharya](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/kaushik_acharya/32/2456_2.png) [@kaushik\_acharya](https://forum.weaviate.io/u/kaushik_acharya)\ **Post date:** [October 5, 2024, 7:25am UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/1 "2024-10-05T07:25:29Z")
### Description I am running locally on my laptop the assignments from the DeepLearning.ai course: Building Multimodal Search and RAG I am facing issue in the assignment L5 [Building Multimodal Search and RAG - DeepLearning.AI](https://learn.deeplearning.ai/courses/building-multimodal-search-and-rag/lesson/5/multimodal-rag-(mm-rag)). In this assignment we load the backup collection (containing images and videos) provided in the course: > client.backup.restore( > backup\_id=“resources-img-and-vid”, > include\_collections=collection\_name, > backend=“filesystem” > ) I am able to get the count of images and videos. The error comes while retrieving similar content based on a text query. (This is a multimodal assignment where we do retrieve images and videos based on text query). > resources = client.collections.get(collection\_name) > response = resources.query.near\_text( > query=query, > filters=Filter.by\_property(“mediaType”).equal(“image”), # return only image objects > return\_properties=[“path”], > limit=1 > ) Error stack: `python3.11/site-packages/weaviate/collections/grpc/query.py:618) raise WeaviateQueryError(e.details(), "GRPC search") WeaviateQueryError: Query call with protocol GRPC search failed with message explorer: get class: vectorize params: vectorize params: vectorize params: vectorize keywords: remote client vectorize: connection to Google PaLM failed with status: 403 error: Permission 'aiplatform.endpoints.predict' denied on resource '//aiplatform.googleapis.com/projects/semi-random-dev/locations/us-central1/publishers/google/models/multimodalembedding@001' (or it may not exist)..` **My understanding for the reason of this failure** : The collection was likely created using the below command as mentioned in L2 assignment: [Building Multimodal Search and RAG - DeepLearning.AI](https://learn.deeplearning.ai/courses/building-multimodal-search-and-rag/lesson/3/multimodal-search) ```auto client.collections.create( name=collection_name, vectorizer_config=Configure.Vectorizer.multi2vec_palm( image_fields=["image"], video_fields=["video"], project_id="semi-random-dev", location="us-central1", model_id="multimodalembedding@001", dimensions=1408 ) ) ``` The project\_id mentioned is **semi-random-dev**. Whereas the project\_id of my project in Google Cloud is different. **Question** : Is it possible to change the project\_id in the vectorizer\_config of the restored collection? ### Server Setup Information - Weaviate Server Version: weaviate-client==4.5.4 - Deployment Method: embedded - Multi Node? Number of Running Nodes: - Client Language and Version: Python 3.11 - Multitenancy?: ### Any additional Information ---
**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\ **Post date:** [October 6, 2024, 5:49pm UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/2 "2024-10-06T17:49:40Z")
hi @kaushik_acharya !! Welcome to our community 🤗 It looks like it is indeed what you mentioned. You may need to create the collection with the project name you have access to. Unfortunately, those infos are not mutable ([check here for a list of mutability configs of a collection](https://weaviate.io/developers/weaviate/config-refs/schema#mutability)). What you can do, in order to change immutable configs of a collection is to reindex your data using our [migration guide](https://weaviate.io/developers/weaviate/manage-data/migrate). Let me know if this helps! ---
**Author:** ![kaushik\_acharya](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/kaushik_acharya/32/2456_2.png) [@kaushik\_acharya](https://forum.weaviate.io/u/kaushik_acharya)\ **Post date:** [October 13, 2024, 1:52pm UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/3 "2024-10-13T13:52:22Z")
Hi @DudaNogueira First of all thanks for the reply. I am facing issue similar to the one mentioned in [Embedded Weaviate Port 6060 - Support - Weaviate Community Forum](https://forum.weaviate.io/t/embedded-weaviate-port-6060/799) As mentioned in the above thread, I added the environment variable: `"GO_PROFILING_DISABLE": "true"` in `weaviate.connect_to_embedded` which gives the message: `listen tcp :6060: bind: address already in use` and throws the error > WeaviateStartUpError: Embedded DB did not start listening on port 8090 within 30 seconds I have passed a different `port` and `grpc_port` for the target weaviate instance. ---
**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\ **Post date:** [October 14, 2024, 11:10pm UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/4 "2024-10-14T23:10:14Z")
hi! There is probably something running also on port 6060, so Weaviate embedded was not able to start. Also, try using a new client version. ---
**Author:** ![kaushik\_acharya](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/kaushik_acharya/32/2456_2.png) [@kaushik\_acharya](https://forum.weaviate.io/u/kaushik_acharya)\ **Post date:** [October 15, 2024, 7:57pm UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/5 "2024-10-15T19:57:32Z")
The command `lsof -i:6060` shows ```auto COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME weaviate- 12670 kaushik 8u IPv6 3175934 0t0 TCP *:6060 (LISTEN) ``` ---
**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\ **Post date:** [October 16, 2024, 2:30am UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/6 "2024-10-16T02:30:00Z")
Yes, this is probably some conflict on embedded running on port 6060 for profiling. Can you try moving away from embedded? This is only meant to allow a quick run on Weaviate directly from the client. you can copy over your data from the Embedded Weaviate path to the same path at `PERSISTENCE_DATA_PATH` at a docker instance for example. Also, have you tried running on a newer client? Thanks! ---
**Author:** ![kaushik\_acharya](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/kaushik_acharya/32/2456_2.png) [@kaushik\_acharya](https://forum.weaviate.io/u/kaushik_acharya)\ **Post date:** [October 26, 2024, 10:20am UTC](https://forum.weaviate.io/t/failure-in-retrieving-content-from-a-backup-restored-collection-created-on-a-different-machine/4434/7 "2024-10-26T10:20:04Z")
Using weaviate client version 4.9.0 on embedded also throws the same error: > WeaviateStartUpError: Embedded DB did not start listening on port 8090 within 30 seconds Only difference is the newer client version is not showing the message > listen tcp :6060: bind: address already in use I didn’t tried docker instance as suggested by you.