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@RajeshGaikwad-p2k 5 күн бұрын
Very nice explanation. Short & easy to understand. It helped me understanding how AI search works.
@ganirban82 6 күн бұрын
Nice session.. Can we boot up that vector - qardent db in windows 10 - os environment with docker sw ? Can we connect qardent - docker service with paython code in locally setting up ?
@akankshamakkar8538 16 күн бұрын
So here we need 3 services, right? azure openai, azure ai search and azure blob storage?
@HazemAzim 18 күн бұрын
Great explanation and simple . Good that you focused on search without the hurdles of CosmosDB
@Melophile_Gaurav 22 күн бұрын
Hey, this was helpful! :)
@nosa-osazeeomoruyi6552 27 күн бұрын
Thanks...this simplified langchain. but code is not in the shared github link.
@ambarishg 26 күн бұрын
Thanks for the comment. I have updated the GITHUB code link in the video.
@nilesh8595 27 күн бұрын
This is perfect sir, you are already ahead of industry implementation era.. great stuff..
@shivaprasad1277 Ай бұрын
I have created an index for a CSV file and i had few custom fields and also i have enabled Semantic reranker for the AI Search. Now i want to use this in my code but unable to get any fruitfl results. Can you please help ? And I am using Langchain as orchestrator
@kaustavroy6361 Ай бұрын
Very informative.
@Momentum_Option_Buyer Ай бұрын
1:01 Is Azure search is or acts like a vector database that keeps the knowledge? Please clarify I have seen several videos but confused on this question.
@Momentum_Option_Buyer Ай бұрын
You didn't use vector database in this specific video (use case) to check data into vectors?
@ambarishg Ай бұрын
Please watch the following for VECTORS 1. kzfaq.info/get/bejne/eLWAictelbSxaIk.html - Vector , Hybrid, Semantic search with Azure AI Search in 11 minutes 2. kzfaq.info/get/bejne/p7CcZqyVqLHKpnk.html -RAG With Azure AI Search using Vector/ Hybrid / Exhaustive KNN / Semantic Reranker in 15 minutes
@gowrinagh896 Ай бұрын
thanks for the info, great explanation
@saideepj6998 Ай бұрын
Thanks for such a detailed content. Is the uploaded data going to private ? will that data be trained with open source LLM's . How to add extra layer of security to make sure that the uploaded data is within my private GPT
@shashanksagar4878 Ай бұрын
Do we not require any embeddings and vector database here? Also, is vector search not required? If so when is it required? Thank you
@mirakamali-jb1sz Ай бұрын
can you do one between llama-index and azure ai search?
@jeevajilife Ай бұрын
Thank you for this lovely video. I am interested in how you created those indexes within Azure AI Search. What if I have data in json format?
@KenGarff-zp1mh Ай бұрын
Thanks for the video!
@abhinavanand6660 Ай бұрын
hey in the section of env where could i find the index name of the ai search
@ambarishg Ай бұрын
index = "<SEARCH SERVICE INDEX NAME>" This is in github.com/ambarishg/AZURE-AI-SEARCH/blob/main/.env.sample
@pooblock4092 2 ай бұрын
Does this work with files with size large than 16mb?
@learnwithengineer66 2 ай бұрын
below is my vector store creation code without using RBAC but if i want to use RBAC what should i have to change in below code vector_store: AzureSearch = AzureSearch( azure_search_endpoint=os.environ.get("SEARCH_ENDPOINT"), azure_search_key=os.environ.get("SEARCH_API_KEY"), index_name=index_name, embedding_function=embeddings.embed_query, )
@RamyahManoharan 2 ай бұрын
Really nice stuff to start with.. than you
@abhilashnamdeo8196 2 ай бұрын
Is it acceptable to perform all these tasks directly from the portal, using the no-code option?
@draco.the.voyager 2 ай бұрын
Useful stuff. Thanks for the video!!
@pjIIIEYE 2 ай бұрын
Do you mind sharing the repo for this talk ?
@ambarishg 2 ай бұрын
github.com/ambarishg/AZURE-AI-VECTOR-SEARCH
@user-ik6rg4mm6h 2 ай бұрын
Do you know how can we retrieve access token from AWS secret manager instead putting it in profile.yml ?
@revischea7114 3 ай бұрын
When I do Vector/Hybrid search, the content that is returned are just references. I want it to answer the question also. Am I doing something wrong?
@UmairMateenKhan 3 ай бұрын
Awesome tutorial Ambarish. Keep up the good work.
@AnkurKumar-xh6yw 3 ай бұрын
A quick question....Using a single project ....can we write tables in different catalogs in databricks? I see that catalog is defined at a project level and wondering if we can use different catalogs for a single project
@subhrangshudas5584 3 ай бұрын
It's really helpful. I'm facing a problem local image in accessible through localhost, but pods are not accessible through local host. does the port need to be same a local image?
@neerajr1582 3 ай бұрын
Hi Sir any tutorial for recommendation service using azure search
@mayanksingh5375 3 ай бұрын
Love that you were recording the video just a few minutes before a new year😅
@swatishiriyannavar3065 3 ай бұрын
Can you do data drift for LLmops on azure
@tintintintin576 3 ай бұрын
thank you so much for this. this sis very helpful. am gonna modify this a little in order to add to my portfolio. big thanks again , sir.
@ambarishg 3 ай бұрын
Glad it was helpful!
@tintintintin576 3 ай бұрын
@@ambarishg 💚🙏
@ratnasagar9693 3 ай бұрын
Hi bro please respond
@ambarishg 3 ай бұрын
Connect me on LinkedIn
@creativeideas2073 4 ай бұрын
i dont know weather it is right to ask or not ,can you please tell keys in microsoft azure about this project for my final year project
@creativeideas2073 4 ай бұрын
i wanted to know that give text and images as input for this project at a time please help me me also doing similar project in jupyter notebook,but we are unable give new images as input only predefined images it takes. can you help me more
@creativeideas2073 4 ай бұрын
bro how can i contact you bro for this project more details
@user-wf2uy5wi7i 4 ай бұрын
service_endpoint = os.getenv("AZURE_SEARCH_SERVICE_ENDPOINT") index_name = os.getenv("AZURE_SEARCH_INDEX_NAME") api_version = os.getenv("AZURE_SEARCH_API_VERSION") key = os.getenv("AZURE_SEARCH_ADMIN_KEY") aiVisionApiKey = os.getenv("AZURE_AI_VISION_API_KEY") aiVisionRegion = os.getenv("AZURE_AI_VISION_REGION") aiVisionEndpoint = os.getenv("AZURE_AI_VISION_ENDPOINT") Sir, couldn't find the service_endpoint, index_name,api_version ,key Can you please help me out
@BalaMurugan-cm6ev 4 ай бұрын
Thanks for the awesome video. When we hit the cognitive Search using langchain. do we get the semantic reranker results? for RAG
@limjuroy7078 4 ай бұрын
Here is my little 2 cents', can you do an end-to-end tutorial on how you do this, including creating Azure AI Service, Azure Storage as well as the coding part? 😅😅😅
@ambarishg 4 ай бұрын
Great suggestion!
@xyz-vv5tg 3 ай бұрын
Please. I need it. I have no idea on Azure or any of its services. I'm just exploring and getting confused
@JohnPatrickGallagher Ай бұрын
I’ll second this, I’m getting Started and it’s a great tutorial so far!
@limjuroy7078 4 ай бұрын
What if I want the app "also" has the ability to upload our own PDF file and query the content of the just uploaded file through UI?
@ambarishg 4 ай бұрын
Yes it is possble
@Rajdeep6452 4 ай бұрын
Man I am tired of these half-baked videos
@Tiger-Tippu 4 ай бұрын
Hi Ambarish ,please let me know how to get these codes
@ambarishg 4 ай бұрын
github.com/ambarishg/dp100
@Tiger-Tippu 4 ай бұрын
@@ambarishg thank you
@murtuza.chawala 4 ай бұрын
Awesome Video I tried it too wanted to know any way we can do reinforcement learning making the bot train on our feedback
@ASLI-nh3zb 4 ай бұрын
Does scoring not seem to work when using hybrid search?
@indrayne1840 5 ай бұрын
Sir I have one doubt, like we are using Azure Cognitive search and the index updates everyday midnight. So we have both new content and old content with us. Now what I want is to retrieve the most recent content first and than old content. How can I implement it?
@shoaibpatel2631 5 ай бұрын
Very informative video, please let me know the version of Azure search document library used?
@ambarishg 5 ай бұрын
The latest Azure Search Document library [ azure-search-documents ]
@oliva8282 18 күн бұрын
I guess is 11.4.0 then, right?
@SamSan.08 5 ай бұрын
Have you created those fields( filename, line and embeddings) in the azure index manually or through code(python)
@ambarishg 5 ай бұрын
This is done thru code. We have demonstrated of how we have done it in the video. Thank you
@SamSan.08 5 ай бұрын
Is that possible to Covent every column in CSV file to fields in azure without writing each column name in the code to convert it into field. Just we need to input a CSV file and it's columns shd be converted into fields in azure
@WinstonCodesOn 5 ай бұрын
What advantage do you get from using the bi_encoder that is different from the basic vector hybrid search used in your previous video [RAG with Azure AI Search and Azure Open AI](kzfaq.info/get/bejne/jLF0osSJqbqXYHU.html)?
@ambarishg 5 ай бұрын
Thanks for the question. The concept of the basic vector search is the same as the bi_encoder. While the HYBRID Search is combining Text Search and the Vector Search .
@WinstonCodesOn 5 ай бұрын
@@ambarishg So is this just showcasing another coding method of implementing the same kind of search algo?
@WinstonCodesOn 5 ай бұрын
It would be nice to have a video that goes into more detail about the quality of results in vector vs hybrid vs E-KNN. Also, why use Langchain? I'm unclear what it's doing that is better than makign the API calls directly.
@ambarishg 5 ай бұрын
Ans 1 : Great suggestion! Ans 2 : For Langchain used ConversationalMemory which can be coded also but having a good tested framework helps to implement ConversationalMemory easier
@pulkitthapar 2 ай бұрын
The sequential API calls to retrieve and then generate the response will result in a higher turn-around time. Langchain runs on LCEL that allows "runnables" or chains to run parallelly, achieving the same functionality but improving time. Also, it'll be easier to implement context-aware retrieving via Agent Tools using the framework. The only downside I see right now is a bug in the community integration for Azure AI Search that doesn't allow Hybrid or Semantic-Hybrid searches on a custom schema.