AI and Semantic Search

Slide 1Integrating Semantic Search and Generative AI

• Zoom code:
• 503-616-9422

Slide 2Who I am

• Passionate FileMaker trainer
• Expert FileMaker developer
• Certified in FM versions 7 to present
• Founded 3 companies
• FBA Awards, conference sessions, Meetups
• ClarisTalk AI podcast with Cris Ippolite

I’m not an attorney ^

Slide 3What I do

• Champion Class coming January 7th
• Intensive 10 week class covering entire platform
• Emphasizes current best practices and AI
• On-site training, mentoring, consulting
• matt@navarre.training

Slide 4Agenda

• Boring slide show ~ a few more minutes
• Semantic Search Integration
• 10 minute break
• Generative AI integration
• Semantic + Generative = wow
• Q&A

Slide 5Today’s Class

• Integrate Semantic Search
• Using OpenAI connection / API key
• Integrate Generative AI
• It’s all about the prompt
• Link them

Slide 6Branches of AI

• Machine Learning
• Deep Learning
• Robotics
• Computer Vision
• Expert Systems
• Natural Language Processing (NLP)

You are here

Slide 7Machine Learning

Definition: Algorithms that learn from data to make decisions or predictions without explicit programming.

Slide 8Machine Learning

• Supervised Learning: Learning with labeled data.
• Unsupervised Learning: Discovering patterns in unlabeled data.
• Reinforcement Learning: Learning through rewards and penalties by interacting with an environment.
• Deep Learning
• (also a subset of ML, but large enough to be its own branch).

Slide 9Deep Learning

Definition: A subset of ML involving neural networks with multiple layers, allowing the model to learn complex patterns.

Slide 10Deep Learning

• Convolutional Neural Networks: Image and video processing
• Recurrent Neural Networks: Sequential data like time
• Transformers: Foundation for models like GPT
• Generative Adversarial Networks: Create synthetic data
• Generator tries to ‘fool’ Discriminator

Slide 11Computer Vision

• Definition: Enables computers to interpret and make decisions based on visual data.
• Image Recognition
• Object Detection
• Facial Recognition

Slide 12Expert Systems

• Definition: AI systems designed to mimic decision-making ability in a specific domain
• Application Areas
• Medical Diagnosis
• Financial Analysis
• Customer Support systems

Slide 13NLP

Enables computers to understand, interpret, and generate human language

Slide 14NLP

• Semantic Search: Finding relevant information based on meaning, not just keywords.
• Text Generation: Creating human-like text, such as responses in chatbots or automated content.
• Sentiment Analysis: Detecting emotion or opinion in text, useful in customer feedback and social media analysis.
• Language Translation: Converting text from one language to another in real-time.
• Named Entity Recognition (NER): Identifying specific names, dates, or places in text, used in data extraction.

Slide 15Semantic Search

Slide 16Types of Search

• Lexical
• Search for exact matches in structured data
• Semantic
• Search based on meaning, context, and related words

Slide 17Semantic Search

• FileMaker Pro 21.0
• Semantic Search features
• FileMaker Pro 21.1
• Support for Image embedding
• (Won’t cover this today)

Slide 18Key Functions

• Configure AI Account
• Insert Embedding
• Choose embedding model
• Embed Single record or found set
• Perform Semantic Find

Slide 19Let’s Integrate

Slide 20Break

Slide 21Generative AI

Slide 22Key Steps

• System Prompt
• User Prompt
• Insert from URL [ ]

Slide 23Prompts

• Tells what happens in natural language
• ‘Summarize these records’
• ‘Create a report’
• ‘Write a custom email’

Slide 24Let’s Integrate