You will get the ability to ask questions about your data using AI.
You will get the ability to ask questions about your data using AI.
Project details
You will be able to ask questions about your data, all from within your AWS account and Slack! This solution leverages AWS Bedrock, the Gen AI service from AWS, Pinecone, and Slack.
We are experienced in building and deploying Retrieval Augmentation Generation (RAG) systems on the AWS ecosystem. We can also provide add-ons such as pulling in data from a variety of sources, and custom Gen AI workflows.
We are experienced in building and deploying Retrieval Augmentation Generation (RAG) systems on the AWS ecosystem. We can also provide add-ons such as pulling in data from a variety of sources, and custom Gen AI workflows.
Messaging Platform
SlackWhat's included $3,500
These options are included with the project scope.
$3,500
- Delivery Time 4 days
- Number of Revisions 0
- Number of Conversation Steps 1
- Number of Messaging Platforms 1
Frequently asked questions
About Lance
Gen AI, Machine Learning (ML), Data Engineering, AWS, ChatGPT
Woodstock, United States - 10:01 pm local time
- OpenAI API Integrations
- AWS ML/AI Services, including AWS Bedrock and SageMaker
- LLMs and Generative AI
- Vector stores and RAG Solutions
- LangChain
I have extensive experience with data engineering, machine learning, and AWS. I can evaluate machine learning opportunities to see if they are viable prior to starting, to ensure you do not spend money on an ML venture that may not work. If you have an idea, I can see if ML is a good fit, and how to obtain the necessary data required for ML.
I can architect and build ML solutions on AWS for virtually any industry. I have a strong project management back ground in addition to engineering, so I can break down your goals into actionable and measurable outcomes.
I'm looking forward to hearing from you so we can accomplish your vision!
AWS Services: Bedrock, Rekognition, Textract, Comprehend, Transcribe, GroundTruth, SageMaker, QuickSight, Glue, EC2, VPC, Lambda, RDS. If something isn't listed, reach out! Chances are I've used it or can integrate it.
Steps for completing your project
After purchasing the project, send requirements so Lance can start the project.
Delivery time starts when Lance receives requirements from you.
Lance works on your project following the steps below.
Revisions may occur after the delivery date.
Defining the Goal and Dataset
What data do you want to ask questions about, and how will this improve your day-to-day workflow? We want to select the right data that you'll interact with using AI and Slack.
Configure Initial Setup
We will take the source data provided by you and set the Knowledge Base within your AWS account. We will create the application in your Slack account, and the necessary connections between AWS and Slack.