Embedding Strategies
Seth Hobson· Community
A guide to selecting and optimizing embedding models for semantic search and RAG applications.
Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
706 skills
Seth Hobson· Community
A guide to selecting and optimizing embedding models for semantic search and RAG applications.
Seth Hobson· Community
A guide to optimizing vector index performance for latency, recall, and memory usage.
Seth Hobson· Community
A structured workflow for training reasoning and verifiable task behavior using GRPO and Reinforcement Learning from Verifiable Rewards.
Seth Hobson· Community
Best practices and patterns for optimizing Apache Spark job performance, memory management, and data processing efficiency.
Seth Hobson· Community
An expert database administrator for cloud-native environments, automation, and reliability engineering.
Seth Hobson· Community
A framework for designing effective, actionable KPI dashboards that drive business decisions through clear metrics and visualization best practices.
Seth Hobson· Community
Convert graded evaluation traces and production logs into SFT examples and DPO preference pairs for model training.
Seth Hobson· Community
Guidelines and implementation patterns for building efficient similarity search systems using vector databases.
Seth Hobson· Community
A framework for implementing data quality validation using Great Expectations, dbt tests, and data contracts.
Seth Hobson· Community
A rigorous protocol for researching social media discussions while maintaining strict traceability between claims and source evidence.
Seth Hobson· Community
Prepare, format, and validate datasets for supervised fine-tuning and preference training.
GitHubOfficial
Expert guidance on scaling Qdrant vector database deployments, covering vertical versus horizontal strategies and cluster configuration.
GitHubOfficial
Manage and query Arize datasets for evaluation and experimentation using the ax CLI.
GitHubOfficial
Optimizes Qdrant query performance by using statistical subsampling to reduce inter-shard data transfer for high-limit queries.
GitHubOfficial
A guide for selecting and implementing advanced Qdrant search strategies to improve retrieval quality and relevance.
GitHubOfficial
Unified agent for instrumenting, auditing, and managing LLM application telemetry and prompts using Comet Opik.
GitHubOfficial
A guide for implementing RAG pipelines and persistent agent memory using the Pinecone vector database.
GitHubOfficial
Manage and maintain Microsoft SQL Server databases using the MS SQL extension.
GitHubOfficial
Manage Snowflake semantic views through the Snowflake CLI with a structured validation workflow.
GitHubOfficial
Best practices and version compatibility rules for upgrading Qdrant database instances.
GitHubOfficial
A comprehensive framework for auditing and optimizing Power BI data models for performance, scalability, and maintainability.
GitHubOfficial
A guide to optimizing Qdrant query latency through configuration, resource management, and search parameter tuning.
GitHubOfficial
A comprehensive framework for designing effective, accessible, and user-friendly Power BI reports.
GitHubOfficial
An expert KQL assistant for live Azure Data Explorer analysis using the Azure MCP server.