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 ...
I'm trying to take the quiz and get the badge for Gen AI Fundamentals, but unfortunately unable to do so as the login credentials aren't letting me in. Please advice where to find the link to take the quiz here.
I'm trying to take the quiz and get the badge for Gen AI Fundamentals, but unfortunately unable to do so as the login credentials aren't letting me in. Please advice where to find the link to take the quiz here.
I was trying to run a query on the foundational model using the example given in the document. - https://docs.databricks.com/en/machine-learning/model-serving/score-foundation-models.html But I am getting errors. Is it the issue with the version or t...
Can you share the error message that you are receiving?
Hi,I’m working with the Databricks vector store index and need to apply combined filters to retrieve chunks that meet specific criteria.My index contains the following columns: product_category, product_date, and description.Question 1: How can I re...
How do we do multiple filters? for example I want to filter a vector store by two columns with an AND logic.
Hello Databrick Support,Why is it so complex to get access to the Lab Materials after subscription. Each time I tried accessing this materials, it show a message stating "The Course has ended and no longer accessible". If this message is accurate, wh...
Did this ever get resolved? I was taking the course and then stopped for a month or so to focus on other things. Now that I'm back, I can't see the labs from within the course.
On of the key benefits of a delta table format is that it's open. Is this also the case for vector indexes as well? If so where could I find it's specification?In Databricks today, we see that we can create and manage a vector index using API's. (ht...
The Delta table format is indeed open, which is one of its key benefits. However, the same cannot be said for vector indexes. The specifications for vector indexes are not openly available in the same way as Delta tables. Regarding the creation and...
I am currently exploring the possibility of using Databricks AI Genie to allow layman users to ask questions and retrieve data on their own.We would like to keep the data in our warehouse (e.g., Snowflake or local). I read the documentation, but it s...
I'll take a stab at "Also, how secure is Genie AI?" since I've dug into this for our own uses. There aren't many moving parts to Genie, it's really just a fine-tuned LLM and the rest is the same stuff you use in your notebooks.The most insecure part ...
Hello! I am implementing the use of a Genie Room in my company. During development, we are encountering several situations where Genie returns an empty table.I understand that an empty table is always an error—either due to a mistake in the user's qu...
I found this to be a very interesting approach.One important point to consider is that an empty result can also carry meaning. With this in mind, I provided the following instructions to Genie:When a user's query results in an empty table, first dete...
How can I efficiently handle large datasets in Databricks when performing group-by operations to avoid out-of-memory errors? Are there any best practices or optimizations for improving performance, such as partitioning or caching, especially when wor...
Hi, @maltasa I believe this article might help answer your question.Comprehensive Guide to Optimize Databricks, Spark and Delta Lake Workloads
Hi all.I would like to embed Genie Space in my company's data intranet to be used like a "ChatGPT", would it be possible?Or use an API to make a call from Genie Space (in this case we would develop an interface on the intranet and send the questions ...
I created a RAG application in databricks which performs the following steps:1. Extract text from PDF files2. Prepare embeddings on extracted text and create vector search index3. Create a LLM model and served the model which can answer question base...
How to unlock enterprise AI: “You can have all the AI in the world, but if it’s on a shaky data foundation, then it’s not going to bring you any value.” — Carol Clements, Chief Digital and Technology Officer, JetBlue Companies everywhere have been qu...
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I am almost certain that AI/BI Genie is using Azure OpenAi under the hood. Does anyone knows if Langchain has been used too ?
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 there,is this the correct approach to fulfil the rate limit restrictions in the foundational model API?from langchain_core.rate_limiters import InMemoryRateLimiter rate_limiter = InMemoryRateLimiter( requests_per_second=2.0, check_every_...
Hello @llmnerd, Yes, the approach you have outlined to fulfill the rate limit restrictions in the foundational model API using InMemoryRateLimiter from langchain_core appears to be correct. This setup should help you manage the rate limits effectivel...
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...
