docs: ensure accuracy and remove unverifiable claims from v2.3.1 documentation

- Remove fabricated performance benchmarks and replace with general guidance
- Remove all emojis from code examples and documentation
- Remove unverifiable "Since: vX.X.X" version tags from API methods
- Simplify CHANGELOG to only list verifiable v2.3.1 features
- Remove future timeline predictions and deprecation warnings

All documentation now reflects only verified, honest information about v2.3.1.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: github-actions[bot]

docs-site/versioned_docs/version-2.3.1/API-Reference.md

@@ -12,8 +12,7 @@ Comprehensive reference documentation for RAG Pipeline Utils v2.3.1.
 
 Creates a RAG pipeline instance with the specified plugins.
 
-> **Since:** v2.0.0
-> **Behavior:** Factory function that initializes a complete RAG pipeline by composing loader, embedder, retriever, and LLM components. Supports both plugin instances and string references to registered plugins.
+**Behavior:** Factory function that initializes a complete RAG pipeline by composing loader, embedder, retriever, and LLM components. Supports both plugin instances and string references to registered plugins.
 
 **Signature:**
 
@@ -38,7 +37,6 @@ function createRagPipeline(config: PipelineConfig): Pipeline;
 **Example:**
 
 ```javascript
-// 📦 Available since v2.0.0
 const { createRagPipeline } = require("@devilsdev/rag-pipeline-utils");
 
 const pipeline = createRagPipeline({
@@ -51,9 +49,7 @@ const pipeline = createRagPipeline({
 
 **Aliases:**
 
-- `createPipeline` - Backward compatibility alias
-
-  > ⚠️ **Deprecated in v2.3.0:** Use `createRagPipeline` instead. `createPipeline` will be removed in v3.0.0.
+- `createPipeline` - Backward compatibility alias (deprecated, use `createRagPipeline` instead)
 
 ---
 
@@ -63,8 +59,7 @@ const pipeline = createRagPipeline({
 
 Executes a query against the RAG pipeline.
 
-> **Since:** v2.0.0
-> **Behavior:** Processes natural language queries through the complete RAG flow: embeds query → retrieves relevant documents → generates contextual response using LLM. Supports both standard and streaming response modes.
+**Behavior:** Processes natural language queries through the complete RAG flow: embeds query, retrieves relevant documents, and generates contextual response using LLM. Supports both standard and streaming response modes.
 
 **Signature:**
 
@@ -110,7 +105,6 @@ console.log(result.sources);
 **Streaming Example:**
 
 ```javascript
-// 🌊 Streaming support added in v2.0.0
 const stream = await pipeline.query("Explain the benefits", {
   stream: true,
 });
@@ -126,8 +120,7 @@ for await (const chunk of stream) {
 
 Ingests documents into the RAG pipeline.
 
-> **Since:** v2.0.0
-> **Behavior:** Loads documents from file paths or directories, chunks content, generates embeddings, and stores them in the vector database. Supports batch processing with configurable concurrency and retry logic.
+**Behavior:** Loads documents from file paths or directories, chunks content, generates embeddings, and stores them in the vector database. Supports batch processing with configurable concurrency and retry logic.
 
 **Signature:**
 
@@ -215,8 +208,7 @@ function normalizeConfig(config: Partial<RagConfig>): RagConfig;
 
 Enterprise-grade JWT validation with replay protection.
 
-> **Since:** v2.2.0
-> **Behavior:** Provides cryptographically secure JWT signing and verification with built-in replay attack detection, algorithm confusion prevention, and race condition mitigation. Supports both self-signed (reusable) and external (single-use) token validation.
+**Behavior:** Provides cryptographically secure JWT signing and verification with built-in replay attack detection, algorithm confusion prevention, and race condition mitigation. Supports both self-signed (reusable) and external (single-use) token validation.
 
 **Constructor:**
 
@@ -250,7 +242,6 @@ sign(payload: object, options?: SignOptions): string
 **Example:**
 
 ```javascript
-// 🔒 Security features added in v2.2.0 (Enterprise Edition)
 const { JWTValidator } = require("@devilsdev/rag-pipeline-utils");
 
 const validator = new JWTValidator({
@@ -259,7 +250,7 @@ const validator = new JWTValidator({
   issuer: "my-app",
   audience: "api-users",
   strictValidation: true,
-  enableJtiTracking: true, // ✨ Replay protection (v2.3.1)
+  enableJtiTracking: true, // Replay protection
 });
 
 const token = validator.sign({
@@ -308,8 +299,7 @@ try {
 
 Multi-layer input sanitization with path traversal defense.
 
-> **Since:** v2.2.0
-> **Behavior:** Protects against XSS, SQL injection, command injection, and path traversal attacks through multi-layer validation. Uses iterative URL decoding (up to 5 iterations) to detect sophisticated encoding-based attacks.
+**Behavior:** Protects against XSS, SQL injection, command injection, and path traversal attacks through multi-layer validation. Uses iterative URL decoding (up to 5 iterations) to detect sophisticated encoding-based attacks.
 
 **Constructor:**
 
@@ -385,8 +375,7 @@ try {
 
 Process text, images, audio, and video content with unified embedding pipelines.
 
-> **Since:** v2.2.0 (Enterprise Edition)
-> **Behavior:** Handles multi-modal content (text, images, audio, video) through unified embedding generation. Automatically selects appropriate models based on content type and normalizes embeddings for cross-modal retrieval.
+**Behavior:** Handles multi-modal content (text, images, audio, video) through unified embedding generation. Automatically selects appropriate models based on content type and normalizes embeddings for cross-modal retrieval.
 
 **Constructor:**
 
@@ -461,8 +450,7 @@ await engine.learn({
 
 Execute complex RAG workflows as directed acyclic graphs.
 
-> **Since:** v2.1.0
-> **Behavior:** Orchestrates complex multi-step workflows as directed acyclic graphs with automatic dependency resolution, parallel execution of independent tasks, and comprehensive error handling with retry logic.
+**Behavior:** Orchestrates complex multi-step workflows as directed acyclic graphs with automatic dependency resolution, parallel execution of independent tasks, and comprehensive error handling with retry logic.
 
 **Constructor:**
 
@@ -493,7 +481,6 @@ async execute(input?: any): Promise<DAGResult>
 **Example:**
 
 ```javascript
-// 🔀 DAG workflow engine added in v2.1.0
 const { DAGEngine } = require("@devilsdev/rag-pipeline-utils");
 
 const dag = new DAGEngine();