Commit acbe8ab
authored
Improve documentation formatting for clarity and consistency (#1389)
* Refine documentation across various sections for clarity and consistency
- Updated descriptions in datasets, models, runtime, and views documentation to enhance readability and precision.
- Improved explanations regarding retry mechanisms and refresh attempts in acceleration settings.
- Clarified the purpose and functionality of the `WITH` clause in SQL documentation.
- Enhanced troubleshooting guidance with detailed common issues and solutions for dataset loading, query performance, and AI chat results.
- Revised use case descriptions for agentic apps, edge AI, federated MCP server, object-store AI engine, and more to improve clarity and impact.
- Streamlined language throughout the documentation to ensure consistency and better user understanding.
* Improve documentation formatting for clarity and consistency across multiple sections
* Apply suggestion from @lukekim
* Update documentation links for consistency and clarity across multiple sections1 parent c4c9d8a commit acbe8ab
124 files changed
Lines changed: 1187 additions & 304 deletions
File tree
- website
- docs
- api/HTTP
- clients
- cli
- reference
- components
- data-accelerators
- data-connectors
- postgres
- vectors
- deployment
- aws
- cloud
- kubernetes
- features
- cdc
- data-acceleration
- data-ingestion
- embeddings
- large-language-models
- query-federation
- search
- getting-started
- intelligent-applications
- reference
- spicepod
- sql
- troubleshooting
- use-cases
- ai
- agentic-apps
- edge-ai
- federated-mcp-server
- object-store-ai-engine
- tool-calling-ai
- data
- application-resilence-and-acceleration
- data-mesh
- database-cdn
- object-store-data-engine
- reverse-etl
- rag
- applications
- reporting
- search
- data-collection-and-search
- enterprise-search
- object-store-search-engine
- versioned_docs/version-1.11.x
- api/HTTP
- clients
- cli
- reference
- components
- data-accelerators
- data-connectors
- postgres
- vectors
- deployment
- aws
- cloud
- kubernetes
- features
- cdc
- data-acceleration
- data-ingestion
- embeddings
- large-language-models
- query-federation
- search
- getting-started
- intelligent-applications
- reference
- spicepod
- sql
- troubleshooting
- use-cases
- ai
- agentic-apps
- edge-ai
- federated-mcp-server
- object-store-ai-engine
- tool-calling-ai
- data
- application-resilence-and-acceleration
- data-mesh
- database-cdn
- object-store-data-engine
- reverse-etl
- rag
- applications
- reporting
- search
- data-collection-and-search
- enterprise-search
- object-store-search-engine
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