# Error 413 - Payload too large error upon uploading files to weaviate hosted in Azure Kubernetes service **URL:** \ **Category:** Support\ **Created:** [November 20, 2023, 12:46pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989 "2023-11-20T12:46:58Z")\ **Posts on this page:** 9\ **Page:** 1
**Author:** ![sg4544](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/sg4544/32/673_2.png) [@sg4544](https://forum.weaviate.io/u/sg4544)\ **Post date:** [November 20, 2023, 12:46pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/1 "2023-11-20T12:46:58Z")
Error 413 - Payload too large error upon uploading files to weaviate hosted in Azure Kubernetes service ---
**Author:** ![sg4544](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/sg4544/32/673_2.png) [@sg4544](https://forum.weaviate.io/u/sg4544)\ **Post date:** [November 20, 2023, 12:48pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/2 "2023-11-20T12:48:24Z")
weaviate version 1.22.3 hosted on azure lubernetes service AKS cluster ---
**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:** [November 20, 2023, 12:54pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/3 "2023-11-20T12:54:55Z")
Hi @sg4544 ! Welcome to our community 🤗 Is it in WCS or have you deployed yourself? in that case, have you used [our helm chart](https://github.com/weaviate/weaviate-helm)? Thanks! ---
**Author:** ![Saket\_Arora](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/saket_arora/32/674_2.png) [@Saket\_Arora](https://forum.weaviate.io/u/Saket_Arora)\ **Post date:** [November 20, 2023, 12:55pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/4 "2023-11-20T12:55:22Z")
I am trying to upload a file from front-end but if the file size is greater than 1 MB, I get this issue saying ‘413 Payload too large’. The functionality involves user uploading any pdf file from the system to weaviate schema but the limit is 1 MB. Anyhting above this limit gives this error. ---
**Author:** ![sg4544](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/sg4544/32/673_2.png) [@sg4544](https://forum.weaviate.io/u/sg4544)\ **Post date:** [November 20, 2023, 1:05pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/5 "2023-11-20T13:05:58Z")
Hi, yes deployed using your helm chart. helm upgrade --install “weaviate” weaviate/weaviate --namespace “weaviate” --values .\values.yaml ---
**Author:** ![sg4544](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/sg4544/32/673_2.png) [@sg4544](https://forum.weaviate.io/u/sg4544)\ **Post date:** [November 20, 2023, 1:06pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/6 "2023-11-20T13:06:42Z")
Please note only files \>1MB fail the upload. So its ideally a config parameter somewhere limiting it. ---
**Author:** ![Saket\_Arora](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/saket_arora/32/674_2.png) [@Saket\_Arora](https://forum.weaviate.io/u/Saket_Arora)\ **Post date:** [November 21, 2023, 11:14am UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/7 "2023-11-21T11:14:50Z")
@DudaNogueira Can you provide something regarding this? ---
**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:** [November 21, 2023, 2:32pm UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/8 "2023-11-21T14:32:56Z")
Ok, just to make sure: Are you uploading the pdf file to a [blob field](https://weaviate.io/developers/weaviate/config-refs/datatypes#datatype-blob)? Because the way it usually goes is that you upload first to a backend, this backend will extract the content from that pdf, then chunk those contents and from the backend you insert the data to be vectorized and indexed. Apart from a blob field, I cannot think of other scenario where a pdf/file should be uploaded directly to Weaviate. By the way, have you seen the new Verba release? It has a really nice examples on how to achive this kind of feature: > **[GitHub - weaviate/Verba: Retrieval Augmented Generation (RAG) chatbot powered...](https://github.com/weaviate/Verba/)** > > Retrieval Augmented Generation (RAG) chatbot powered by Weaviate - GitHub - weaviate/Verba: Retrieval Augmented Generation (RAG) chatbot powered by Weaviate ---
**Author:** ![Saket\_Arora](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/saket_arora/32/674_2.png) [@Saket\_Arora](https://forum.weaviate.io/u/Saket_Arora)\ **Post date:** [November 22, 2023, 11:16am UTC](https://forum.weaviate.io/t/error-413-payload-too-large-error-upon-uploading-files-to-weaviate-hosted-in-azure-kubernetes-service/989/9 "2023-11-22T11:16:50Z")
@DudaNogueira I am sharing the schema I have used:- const knowledge\_doc = { class: ‘document’, description: ‘a part of a document’, vectorizer: ‘text2vec-openai’, moduleConfig: { ‘text2vec-openai’: { vectorizeClassName: false } }, properties: [ { dataType: [‘text’], description: ‘The text of the page’, name: ‘content’, moduleConfig: { ‘text2vec-openai’: { skip: false } } }, { dataType: [‘text’], description: ‘The document containing this text’, name: ‘source’, moduleConfig: { ‘text2vec-openai’: { skip: true } } }, { dataType: [‘int’], description: ‘This is the number of tokens for the text’, name: ‘tokenCount’, moduleConfig: { ‘text2vec-openai’: { skip: true } } } ] };