Playbooks
Tutorials
Long-form guides optimized for engineers shipping GenAI features responsibly.
15 min read
Implementing Planner-Executor Loops and Failure Recovery
This tutorial covers the implementation of planner-executor loops in AI systems, focusing on failure recovery strategies. Prerequisites include familiarity with AI workflows and basic programming skills.
16 min read
Comparing Offline vs Online Evaluation Frequency for AI Models in Healthcare
This tutorial explores the trade-offs between offline and online evaluation frequencies for AI models used in healthcare applications. Prerequisites include knowledge of AI model evaluation metrics and healthcare domain specifics.
14 min read
Enhancing Observability with Traces for LLM and Tool Spans in Data Pipelines
This tutorial focuses on enhancing observability in data pipelines that utilize large language models (LLMs) by implementing tracing for both LLM and tool spans. Prerequisites include familiarity with observability concepts and experience with LLMs.
18 min read
Implementing Planner-Executor Loops with Failure Recovery in AI Systems
This tutorial explains how to design and implement planner-executor loops in AI systems, including strategies for failure recovery. Prerequisites include knowledge of AI workflows and basic programming skills.
12 min read
Establishing SLI/SLO for Generative AI Endpoints in Customer Support
This tutorial guides you through setting up Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for generative AI endpoints used in customer support scenarios. Prerequisites include familiarity with service metrics and basic knowledge of AI endpoint operations.
15 min read
Implementing Prompt Injection Defenses in Multi-Tenant SaaS Applications
This tutorial covers how to implement effective defenses against prompt injection attacks in multi-tenant SaaS applications, focusing on security measures and user isolation techniques. Prerequisites include a basic understanding of multi-tenant architectures and security best practices.
12 min read
Synthetic Data Generation for Classifier Fine-Tunes in Legal AI Applications
This tutorial provides a comprehensive guide to generating synthetic data for training classifiers in legal AI applications, focusing on improving model performance and reducing bias. Prerequisites include knowledge of machine learning and legal domain concepts.
16 min read
Quantization Impact on Retrieval Quality in Financial Services
This tutorial examines the effects of quantization on retrieval quality in financial data systems. Prerequisites include knowledge of machine learning and data retrieval concepts.
18 min read
Hybrid Search: BM25 + Dense Re-Ranking for Academic Research
This tutorial explores the integration of BM25 and dense re-ranking for enhancing academic search engines. Familiarity with information retrieval concepts is required.
15 min read
Cross-Encoder Re-Rankers at Scale for E-commerce Personalization
This tutorial covers the implementation of cross-encoder re-rankers to improve product recommendations in e-commerce platforms. Prerequisites include familiarity with machine learning concepts and access to a dataset of product interactions.
20 min read
Synthetic Data Generation for Classifier Fine-Tunes in Legal AI
This tutorial demonstrates how to generate synthetic data for fine-tuning classifiers in legal AI applications, ensuring compliance and accuracy. Prerequisites include a basic understanding of machine learning and legal terminology.
15 min read
Chunking Strategies for Medical PDFs: Enhancing Patient Data Retrieval
This tutorial explores effective chunking strategies tailored for medical PDFs, enhancing retrieval performance for patient data. Prerequisites include familiarity with PDF structures and basic NLP techniques.
13 min read
Synthetic Data for Classifier Fine-Tunes in Legal AI Applications
This tutorial explores the generation and use of synthetic data to fine-tune classifiers in legal AI applications, addressing challenges like data scarcity. Prerequisites include knowledge of machine learning concepts and experience with data generation techniques.
10 min read
Metadata Filters and ACL-Aware Retrieval in Legal Document Management
This tutorial outlines the implementation of metadata filters and Access Control List (ACL)-aware retrieval systems in legal document management applications. Prerequisites include knowledge of legal data structures and basic programming skills.
12 min read
Quantization Impact on Retrieval Quality in Healthcare Applications
This tutorial investigates the effects of quantization on retrieval quality in healthcare applications, focusing on the trade-offs between model size and accuracy. Prerequisites include a basic understanding of machine learning models and quantization techniques.
16 min read
Backfill Strategies After Schema Changes in Data Warehousing
This tutorial discusses effective backfill strategies to manage data consistency and integrity after schema changes in data warehousing environments. Prerequisites include knowledge of SQL and data warehousing concepts.
22 min read
Cross-Encoder Re-Rankers at Scale for Content Recommendation
This tutorial focuses on implementing cross-encoder re-rankers for large-scale content recommendation systems, emphasizing their performance and scalability. Prerequisites include experience with machine learning and recommendation systems.
18 min read
Graph RAG for Entity-Heavy Domains: A Practical Guide
This tutorial delves into using Graph RAG (Retrieval-Augmented Generation) techniques for domains rich in entities, such as legal and healthcare sectors. Prerequisites include understanding of RAG and graph database concepts.
20 min read
Pgvector Index Tuning: HNSW vs IVF for E-commerce Search
This tutorial explores the tuning of Pgvector indexes using HNSW and IVF methods, specifically for optimizing search capabilities in e-commerce platforms. Prerequisites include basic knowledge of PostgreSQL and vector search concepts.
15 min read
Cold-Start Embeddings for New Tenants in SaaS Applications
This tutorial covers strategies for implementing cold-start embeddings for new tenants in SaaS applications, focusing on leveraging existing data and models to generate initial embeddings. Prerequisites include familiarity with machine learning concepts and access to a dataset for training.
20 min read
Hybrid Search: BM25 + Dense Re-Ranking for E-commerce
This tutorial covers the implementation of hybrid search combining BM25 and dense re-ranking techniques for e-commerce applications. Prerequisites include knowledge of search algorithms and e-commerce systems.
16 min read
Synthetic Data for Classifier Fine-Tunes in Healthcare Applications
This tutorial explores the use of synthetic data to enhance classifier performance in healthcare applications. Prerequisites include a basic understanding of machine learning and healthcare data.
14 min read
Metadata Filters and ACL-Aware Retrieval in Financial Services
This tutorial discusses implementing metadata filters and access control lists (ACLs) for secure and efficient data retrieval in financial services. Prerequisites include basic knowledge of data security and retrieval systems.
18 min read
Quantization Impact on Retrieval Quality in Medical Applications
This tutorial examines the effects of quantization on retrieval quality in medical data applications. Prerequisites include knowledge of machine learning and data retrieval systems.