Engineering Smart Search with Appian

Learn to configure semantic search, tune similarity scores, and leverage data fabric for high-relevance results. We'll dive into engineering trade-offs and patterns to scale smart search into an enterprise-grade solution. 00:00 - Introduction & Use Case: Agent JJ's Investigation 02:56 - Keyword vs. Semantic Search 04:30 - Configuring Appian Smart Search 08:33 - Testing and Refining the Smart Search Grid 11:40 - Implementing a Global Search Pattern 13:36 - Chatting with Records & Document Content 15:15 - The Value and Impact of Smart Search 17:53 - Scaling Up: When to Build a Custom Search Solution 20:53 - Custom Search Architecture: S3, OpenSearch, & AWS Textract 24:08 - How Semantic Search and Embeddings Work 27:49 - Document Ingestion & Chunking Strategies 30:52 - Handling Errors with SQS and Dead-Letter Queues 33:55 - Global Search Demo with the Custom Architecture 36:28 - Choosing the Right Search Solution: Appian vs. Custom 38:52 - Q&A Session #LearnAppian for free with https://academy.appian.com