fix(data): remove hardcoded star claims from desc/detail fields (PR #43)

- Delete 18 volatile star count mentions from desc/detail prose
- github_stars field remains single source of truth
- Affects: openclaw, dify, ragflow, flowise, lightrag, milvus, qdrant,
  chroma, pgvector, claude-code, langfuse, deepeval, promptfoo,
  arize-phoenix, ollama, vllm, localai, litellm
- Regenerate prerender shells (desc changes affect meta descriptions)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: BARONFANTHE

data.json

@@ -977,7 +977,7 @@
     <article>
       <h1>Arize Phoenix</h1>
       <p>Open-source AI observability platform — tracing, evaluation, RAG debugging, embeddings analysis</p>
-      <p>Open-source observability platform (8.5K+ ⭐) designed for experimentation and troubleshooting. Excels at RAG debugging via embedding visualization and semantic drift detection. Built on OpenTelemet...</p>
+      <p>Open-source observability platform designed for experimentation and troubleshooting. Excels at RAG debugging via embedding visualization and semantic drift detection. Built on OpenTelemetry, vendor...</p>
       <footer>
         <p>Part of <a href="/section/observability">Observability &amp; Evaluation — AI Monitoring &amp; Assessment</a> on See AI First.</p>
       </footer>

data.vi.json

@@ -6,16 +6,16 @@
 <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🧠</text></svg>">
 
 <title>Chroma — See AI First</title>
-<meta name="description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG — 26K⭐">
+<meta name="description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG">
 <meta property="og:title" content="Chroma — See AI First">
-<meta property="og:description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG — 26K⭐">
+<meta property="og:description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG">
 <meta property="og:url" content="https://seeaifirst.com/tool/chroma">
 <meta property="og:locale" content="en_US">
 <meta property="og:locale:alternate" content="vi_VN">
 <meta name="twitter:title" content="Chroma — See AI First">
-<meta name="twitter:description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG — 26K⭐">
+<meta name="twitter:description" content="Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG">
 <link rel="canonical" href="https://seeaifirst.com/tool/chroma">
-<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Chroma","url":"https://seeaifirst.com/tool/chroma","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG — 26K⭐","keywords":["Vector Databases — Vector Storage & Search","python","js"],"isAccessibleForFree":true,"license":"Apache-2.0","sameAs":["https://github.com/chroma-core/chroma","https://trychroma.com"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
+<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Chroma","url":"https://seeaifirst.com/tool/chroma","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG","keywords":["Vector Databases — Vector Storage & Search","python","js"],"isAccessibleForFree":true,"license":"Apache-2.0","sameAs":["https://github.com/chroma-core/chroma","https://trychroma.com"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
 
 <!-- Static OG (shared across all routes) -->
 <meta property="og:type" content="website">
@@ -976,7 +976,7 @@
   <main>
     <article>
       <h1>Chroma</h1>
-      <p>Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG — 26K⭐</p>
+      <p>Simplest vector database for AI apps — embedded mode, zero-config, ideal for getting started with RAG</p>
       <p>Chroma is a vector database built with a &quot;developer-first&quot; philosophy — install with a single pip install, runs embedded directly in the Python process with no separate server needed. Stores and se...</p>
       <footer>
         <p>Part of <a href="/section/vector-databases">Vector Databases — Vector Storage &amp; Search</a> on See AI First.</p>

index.html

@@ -977,7 +977,7 @@
     <article>
       <h1>DeepEval</h1>
       <p>LLM evaluation framework like Pytest — 50+ metrics, CI/CD integration, red-teaming</p>
-      <p>&quot;Pytest for LLMs&quot; with 12.6K+ ⭐. Specialized unit testing framework for LLM outputs: 50+ research-based metrics (G-Eval, hallucination detection, faithfulness, relevancy, RAGAs). Integrates with CI...</p>
+      <p>&quot;Pytest for LLMs&quot;. Specialized unit testing framework for LLM outputs: 50+ research-based metrics (G-Eval, hallucination detection, faithfulness, relevancy, RAGAs). Integrates with CI/CD pipelines,...</p>
       <footer>
         <p>Part of <a href="/section/observability">Observability &amp; Evaluation — AI Monitoring &amp; Assessment</a> on See AI First.</p>
       </footer>

tool/arize-phoenix/index.html

@@ -6,16 +6,16 @@
 <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🧠</text></svg>">
 
 <title>Dify — See AI First</title>
-<meta name="description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline — 133K⭐">
+<meta name="description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline">
 <meta property="og:title" content="Dify — See AI First">
-<meta property="og:description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline — 133K⭐">
+<meta property="og:description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline">
 <meta property="og:url" content="https://seeaifirst.com/tool/dify">
 <meta property="og:locale" content="en_US">
 <meta property="og:locale:alternate" content="vi_VN">
 <meta name="twitter:title" content="Dify — See AI First">
-<meta name="twitter:description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline — 133K⭐">
+<meta name="twitter:description" content="Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline">
 <link rel="canonical" href="https://seeaifirst.com/tool/dify">
-<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Dify","url":"https://seeaifirst.com/tool/dify","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline — 133K⭐","keywords":["RAG Systems — Retrieval-Augmented Generation","python","js"],"isAccessibleForFree":true,"license":"Dify-OSL","sameAs":["https://github.com/langgenius/dify","https://dify.ai","https://docs.dify.ai"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
+<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Dify","url":"https://seeaifirst.com/tool/dify","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline","keywords":["RAG Systems — Retrieval-Augmented Generation","python","js"],"isAccessibleForFree":true,"license":"Dify-OSL","sameAs":["https://github.com/langgenius/dify","https://dify.ai","https://docs.dify.ai"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
 
 <!-- Static OG (shared across all routes) -->
 <meta property="og:type" content="website">
@@ -976,7 +976,7 @@
   <main>
     <article>
       <h1>Dify</h1>
-      <p>Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline — 133K⭐</p>
+      <p>Open-source platform for building AI apps with visual workflow builder and built-in RAG pipeline</p>
       <p>Dify is an all-in-one platform for creating AI applications from chatbots to complex agents without writing much code. Its core strength is a drag-and-drop visual workflow builder — users drag node...</p>
       <footer>
         <p>Part of <a href="/section/rag-systems">RAG Systems — Retrieval-Augmented Generation</a> on See AI First.</p>

tool/chroma/index.html

@@ -6,16 +6,16 @@
 <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🧠</text></svg>">
 
 <title>Flowise — See AI First</title>
-<meta name="description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain — 50K⭐">
+<meta name="description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain">
 <meta property="og:title" content="Flowise — See AI First">
-<meta property="og:description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain — 50K⭐">
+<meta property="og:description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain">
 <meta property="og:url" content="https://seeaifirst.com/tool/flowise">
 <meta property="og:locale" content="en_US">
 <meta property="og:locale:alternate" content="vi_VN">
 <meta name="twitter:title" content="Flowise — See AI First">
-<meta name="twitter:description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain — 50K⭐">
+<meta name="twitter:description" content="No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain">
 <link rel="canonical" href="https://seeaifirst.com/tool/flowise">
-<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Flowise","url":"https://seeaifirst.com/tool/flowise","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain — 50K⭐","keywords":["RAG Systems — Retrieval-Augmented Generation","js"],"isAccessibleForFree":true,"license":"Apache-2.0","sameAs":["https://github.com/FlowiseAI/Flowise","https://flowiseai.com"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
+<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"Flowise","url":"https://seeaifirst.com/tool/flowise","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain","keywords":["RAG Systems — Retrieval-Augmented Generation","js"],"isAccessibleForFree":true,"license":"Apache-2.0","sameAs":["https://github.com/FlowiseAI/Flowise","https://flowiseai.com"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
 
 <!-- Static OG (shared across all routes) -->
 <meta property="og:type" content="website">
@@ -976,7 +976,7 @@
   <main>
     <article>
       <h1>Flowise</h1>
-      <p>No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain — 50K⭐</p>
+      <p>No-code tool for building RAG pipelines and LLM apps with drag-and-drop UI — built on LangChain</p>
       <p>Flowise turns LangChain into a visual drag-drop interface — users drag and connect nodes (LLM, retriever, memory, tools) to create complete pipelines without writing Python code. Each flow can be e...</p>
       <footer>
         <p>Part of <a href="/section/rag-systems">RAG Systems — Retrieval-Augmented Generation</a> on See AI First.</p>

tool/deepeval/index.html

@@ -977,7 +977,7 @@
     <article>
       <h1>Langfuse</h1>
       <p>Open-source observability platform for LLMs — tracing, evals, prompt management</p>
-      <p>Most popular LLM engineering platform (20K+ ⭐). Provides OpenTelemetry-standard tracing, automated evaluation, prompt management with versioning, experimentation playground, and datasets for fine-t...</p>
+      <p>Most popular LLM engineering platform. Provides OpenTelemetry-standard tracing, automated evaluation, prompt management with versioning, experimentation playground, and datasets for fine-tuning. In...</p>
       <footer>
         <p>Part of <a href="/section/observability">Observability &amp; Evaluation — AI Monitoring &amp; Assessment</a> on See AI First.</p>
       </footer>

tool/dify/index.html

@@ -6,16 +6,16 @@
 <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🧠</text></svg>">
 
 <title>LightRAG — See AI First</title>
-<meta name="description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025) — 29K⭐">
+<meta name="description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025)">
 <meta property="og:title" content="LightRAG — See AI First">
-<meta property="og:description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025) — 29K⭐">
+<meta property="og:description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025)">
 <meta property="og:url" content="https://seeaifirst.com/tool/lightrag">
 <meta property="og:locale" content="en_US">
 <meta property="og:locale:alternate" content="vi_VN">
 <meta name="twitter:title" content="LightRAG — See AI First">
-<meta name="twitter:description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025) — 29K⭐">
+<meta name="twitter:description" content="Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025)">
 <link rel="canonical" href="https://seeaifirst.com/tool/lightrag">
-<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"LightRAG","url":"https://seeaifirst.com/tool/lightrag","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025) — 29K⭐","keywords":["RAG Systems — Retrieval-Augmented Generation","python"],"offers":{"@type":"Offer","price":"0","priceCurrency":"USD"},"license":"MIT","sameAs":["https://github.com/HKUDS/LightRAG","https://aclanthology.org/2025.findings-emnlp.568/"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
+<script type="application/ld+json" id="seeaifirst-jsonld">{"@type":"SoftwareApplication","name":"LightRAG","url":"https://seeaifirst.com/tool/lightrag","applicationCategory":"DeveloperApplication","operatingSystem":"Cross-platform","description":"Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025)","keywords":["RAG Systems — Retrieval-Augmented Generation","python"],"offers":{"@type":"Offer","price":"0","priceCurrency":"USD"},"license":"MIT","sameAs":["https://github.com/HKUDS/LightRAG","https://aclanthology.org/2025.findings-emnlp.568/"],"datePublished":"2026-02-08","dateModified":"2026-03-24","@context":"https://schema.org","inLanguage":"en"}</script>
 
 <!-- Static OG (shared across all routes) -->
 <meta property="og:type" content="website">
@@ -976,7 +976,7 @@
   <main>
     <article>
       <h1>LightRAG</h1>
-      <p>Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025) — 29K⭐</p>
+      <p>Lightweight RAG framework based on knowledge graphs — GraphRAG approach from HKU research (EMNLP 2025)</p>
       <p>LightRAG takes a fundamentally different approach from traditional RAG: instead of relying solely on vector search, the system automatically builds a knowledge graph from documents — identifying en...</p>
       <footer>
         <p>Part of <a href="/section/rag-systems">RAG Systems — Retrieval-Augmented Generation</a> on See AI First.</p>