Mostlylucid.LucidRAG.CodeSummarizer 2.0.0-alpha3

This is a prerelease version of Mostlylucid.LucidRAG.CodeSummarizer.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Mostlylucid.LucidRAG.CodeSummarizer --version 2.0.0-alpha3
                    
NuGet\Install-Package Mostlylucid.LucidRAG.CodeSummarizer -Version 2.0.0-alpha3
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Mostlylucid.LucidRAG.CodeSummarizer" Version="2.0.0-alpha3" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Mostlylucid.LucidRAG.CodeSummarizer" Version="2.0.0-alpha3" />
                    
Directory.Packages.props
<PackageReference Include="Mostlylucid.LucidRAG.CodeSummarizer" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Mostlylucid.LucidRAG.CodeSummarizer --version 2.0.0-alpha3
                    
#r "nuget: Mostlylucid.LucidRAG.CodeSummarizer, 2.0.0-alpha3"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package Mostlylucid.LucidRAG.CodeSummarizer@2.0.0-alpha3
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Mostlylucid.LucidRAG.CodeSummarizer&version=2.0.0-alpha3&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=Mostlylucid.LucidRAG.CodeSummarizer&version=2.0.0-alpha3&prerelease
                    
Install as a Cake Tool

Code block and Mermaid diagram summarization for RAG pipelines. Uses Tree-sitter for AST parsing of 28+ languages and regex-based Mermaid parsing for diagram structure extraction.

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Mostlylucid.LucidRAG.CodeSummarizer:

Package Downloads
Mostlylucid.LucidRAG.DocSummarizer

Local-first document summarization library using BERT embeddings, RAG, and optional LLM synthesis. Supports markdown, PDF, DOCX, and URLs. Every claim is grounded with citations. Runs entirely offline with ONNX models, or optionally uses Ollama/Docling for enhanced features.

Mostlylucid.LucidRAG.CodeSummarizer.Mermaid.Jint

100% spec-conformant Mermaid diagram parsing using Jint (pure .NET JavaScript interpreter) running mermaid.js in-process. Drop-in replacement for the regex-based MermaidParser with automatic fallback.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
2.5.0-alpha0 626 2/10/2026
2.1.0 573 2/9/2026
2.1.0-preview2 545 2/9/2026
2.0.1-rc2 97 2/9/2026
2.0.1-rc0 605 2/9/2026
2.0.0-rc5 205 2/9/2026
2.0.0-rc4 91 2/9/2026
2.0.0-alpha3 95 2/9/2026
2.0.0-alpha2 152 2/9/2026
2.0.0-alpha1 89 2/8/2026
1.1.1 643 2/4/2026
1.0.0 636 2/4/2026
1.0.0-rc6 656 2/3/2026
1.0.0-rc5 652 2/3/2026
1.0.0-rc4 655 2/3/2026
1.0.0-rc2 541 2/3/2026
1.0.0-alpha4 292 2/2/2026
0.0.0-alpha.0.227 45 2/4/2026
0.0.0-alpha.0.223 47 2/4/2026
0.0.0-alpha.0.221 52 2/4/2026
Loading failed

v0.1.0 - Initial release
- Tree-sitter AST parsing for 28+ languages (function/class/import extraction)
- Regex-based Mermaid diagram parsing (flowchart, sequence, class, state, ER, gantt, pie)
- LLM sentinel integration for semantic code descriptions
- Heuristic fallback when no LLM available