Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have the resources to be successful with generative AI. At Databricks, we recognize that generative ...
Hi,I've deployed a Langchain model via MLFlow log model and a deployment agent (following this https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html#)How do I add additional content to the message history for example, I'd like to add retr...
Hi @davidhuang thanks for pointing to that demo! That implementation of chat history did work in my experience, but it's a little simplistic and could be token-intensive if the history needs to be maintained as a list like that. Has Databricks done a...
I am new to the Databricks platform, and I am following the LLM course on youtube after being captivated by the excellent conceptual explanations and a longstanding desire to use this platform.Running the first cell in the module -%run ../Includes/Cl...
I was able to address this issue by upgrading the pip library, next I modified subsequent code that attempted to update specific versions of libraries needed by the code by simply importing the specific versions.
I am preparing for Generative Certification and facing the below error (LookupError:) when running the notebook in the first module. These were running without any errors in the past.Complete error stack trace:****************************************...
Define all the helper functions from include folder (_helper_functions.py) in your main notebook itself and run these:import nltknltk.download('punkt')nltk.download('wordnet')nltk.download('omw-1.4')nltk.download('punkt_tab')nltk.download('averaged_p...
Hello,I have been trying to run the GenAI course notebook and this error below. I've already tried to download the averaged_perceptron_tagger_eng as it suggests, but the error keeps coming and I am running out of ideas, does anyone can help please?Re...
Hi,I too was getting same error while running the notebook on my cluster. Got fixed after running these. import nltknltk.download('punkt')nltk.download('wordnet')nltk.download('omw-1.4')nltk.download('punkt_tab')nltk.download('averaged_perceptron_tag...
Hello everyone,I’m working on a translation project involving documents up to 100 pages long, in 17 different languages, and I'm looking for the best approach to achieve high-quality translations in this multilingual context.Single model vs. multi-mo...
Hello,We are conducting feasibility study of securely opening up the new features to our team members and want to use AI/BI Genie - Genie Spaces1. How does it leverage the AI underneath .. what AI service is used , is the data shared with AI service...
Hi @koantek_user, In case you haven't already found answers in documentation, AI/BI Genie uses Azure OpenAI -- your data is not used for training and model partners do not retain your data. (see trust and safety) Your data is governed and secured by ...
Hi Team,I have completed the course and cleared the exam of Generative AI Fundamentals Accreditation, but I did not receive the related badges yet. It's been 3 days.Could you please look into this matter?I appreciate if you can help.Thanks,Sravanthi
Hi srav, I have been on the same position, the badges usually arrives on 1 or 3 days, but there are some cases that they take a little more time to arrive, maybe 1 or 2 weeks.
I created a RAG using a corpus of pdf which I have on ADLS. Now where will the chunked text and vector embedding be stored once I parse all the PDFs and I want to start retrieval?
Option 1: Delta Sync Index with embeddings computed by Databricks You provide a source Delta table that contains data in text format. Databricks calculates the embeddings, using a model that you specify, and optionally saves the embeddings to a table...
Hi all,I have been exploring databrick's vector search offering, and was wondering if it had the ability to run a batch query?I would like to be able to do something like the following where both embedding_1 and embedding_2 are separate vectors that ...
Hi @Cummings012 ,As per documentation it is not possible, as the API supports single queries.The workaround is to process these queries in parallel to improve throughput.
I am running this example notebook https://docs.databricks.com/_extras/notebooks/source/machine-learning/large-language-models/pyspark-dataframe-loader-langchain.htmlI am running most as if except switching embeddings and llm to databricks from OpenA...
We abandoned this. Too many compatibility errors and we stuck with the notebook level. Good luck!
I have a team member doing the GenAI certification but she gets the following errorResponse content b'{"error_code":"BAD_REQUEST","message":"This trial workspace no longer has access to Vector Search. Please upgrade the workspace to continue to use V...
I am trying to enable mosiac vector search for my workspace but so far I can see the metastore in my catalog but no vector search.though I am on paid tier and have enabled unity catalog on the workspace. I am still not able to see vector search on my...
Hi ,I have installed the library using "%pip install langchain", but still I couldn't import RetrievalQA. Could anyone help?
Hi @dinusr ,Are you using the correct namespace langchain.chains to import?from langchain.chains import RetrievalQAIf yes, try to 1. Install the most recent version %pip install --upgrade --force-reinstall langchain2. Restart the kernel : dbutils.lib...
When using the web UI to create a vector index from an existing table with chunked data the creation fails at the "Initializing" phase after about 20 minutes. I have validated the requirements are satisfied that are detailed here.I have also seen th...
I believe this "self-resolved". Even though I was technically on a premium plan the trial period had not completed. I think at this point I can say it is resolved.
Hi Databricks,My client is considering using Databricks as the solution to their RAG chatbot framework. We are testing on the Databrick's demo tutorial on its own documentation data (pdf files). The tutorial is provided at: 00-RAG-chatbot-Introductio...
Hi all, I would like to check if there is a function in databricks notebook that allows users to get AI generated descriptions of dataframes within the session similar to the AI generated descriptions for tables? This is because I am wondering it it ...
You can use ai_query function to achieve this in SQL. It takes an LLM endpoint and a prompt as input. Here's an example with DBRX and a specific Indian manufacturing industry-related prompt. create or replace function ai_create_table_metadata (table...
