PAMPA

# 🏆 PAMPA v1.12 Performance Analysis ## 📊 Overview This document analyzes PAMPA v1.12's semantic search capabilities and compares architectural approaches with general-purpose IDE semantic search tools. **Test Environment:** - **PAMPA Version**: v1.12.0 - **Test Project**: Medium-scale web application (~680 indexed functions) - **Test Date**: September 25, 2025 - **Languages**: PHP, TypeScript, JavaScript ## 🎯 Architectural Comparison ### PAMPA v1.12 Approach **Specialized Code Search Engine:** - **Pre-built Index**: Persistent SQLite database with code-specific embeddings - **Hybrid Search**: BM25 + Vector similarity fusion - **Code-Aware**: Symbol extraction, function signatures, AST analysis - **Advanced Ranking**: Cross-encoder reranking, symbol boosting - **Scoped Search**: Filter by file paths, languages, tags ### General IDE Semantic Search **Real-time Text Search:** - **On-demand Processing**: Searches files as needed - **General Embeddings**: Text-based semantic matching - **Workspace Scope**: Limited to current project context - **Basic Ranking**: Primary similarity-based ordering ### Test Queries Common code search scenarios tested: 1. `"create checkout session"` 2. `"payment processing"` 3. `"user authentication"` 4. `"database operations"` 5. `"email notifications"` ## 📈 Performance Analysis ### PAMPA v1.12 Results **Strengths:** - **Consistent Results**: Reliable semantic matching with similarity scores 0.45-0.65 - **Fast Response**: ~1-2 seconds average (pre-indexed) - **Advanced Features**: Scoped search, hybrid ranking, multi-project support - **Code Specialization**: Function-level granularity, symbol awareness **Sample Query Performance:** ```bash pampa search "create checkout session" ✅ Found 5 results in 1.2s - ServiceClass::createSession (similarity: 0.57) - CheckoutController::create (similarity: 0.54) - PaymentService::initSession (similarity: 0.52) ``` ### IDE Semantic Search Comparison **General IDE Approach:** - **Variable Performance**: Depends on project size and indexing state - **Real-time Processing**: No persistent index, searches on demand - **Broad Scope**: Full-text semantic matching across all file types - **Simple Interface**: Integrated with IDE workflow **Trade-offs:** - ⚡ **PAMPA**: Faster, specialized, requires setup - 🔄 **IDE**: Integrated, general-purpose, no setup required ## 🔬 Technical Architecture Analysis ### PAMPA v1.12 Specialized Features **🎯 Scoped Search Filters:** ```bash # Search only in specific directories for PHP files pampa search "database operations" --path_glob "app/Models/**" --lang php ✅ Results: 5 relevant model files # Multi-language search with tagging pampa search "user authentication" --lang php,ts --tags auth ✅ Results: Cross-language authentication implementations ``` **🔄 Hybrid Search (BM25 + Vector):** ```bash # Enhanced recall with keyword + semantic fusion pampa search "checkout flow" --hybrid on --reranker transformers ✅ Results: Higher precision with cross-encoder reranking ``` **🛠️ Multi-Project Support:** ```bash # Work seamlessly across different projects pampa search "payment processing" --project /path/to/project-a pampa search "payment processing" --project /path/to/project-b ✅ Results: Instant context switching between codebases ``` ## 📊 Performance Metrics ### PAMPA v1.12 Measured Performance **Synthetic Benchmark Results:** ``` Benchmark results | setting | P@1 | MRR@5 | nDCG@10 | | --- | --- | --- | --- | | Base | 0.750 | 0.833 | 0.863 | | Hybrid | 0.875 | 0.917 | 0.934 | | Hybrid+CE | 1.000 | 0.958 | 0.967 | ``` **Key Metrics:** - **Precision@1**: 87.5% with hybrid search - **Mean Reciprocal Rank**: 91.7% average - **Normalized DCG**: 93.4% relevance quality - **Response Time**: ~1-2 seconds (pre-indexed) ### Comparison Considerations **PAMPA Advantages:** - ✅ Specialized for code search with persistent indexing - ✅ Advanced ranking algorithms (BM25 + Vector + Cross-encoder) - ✅ Code-aware features (symbol extraction, function signatures) - ✅ Multi-project support with context switching **General IDE Advantages:** - ✅ Zero-setup, integrated workflow - ✅ Real-time file watching and updates - ✅ Broader file type support beyond code - ✅ Native IDE integration and shortcuts ## 🔬 Technical Architecture ### PAMPA v1.12 Stack ``` 🏗️ Specialized Code Search Engine: ├── 📊 SQLite database with function-level indexing ├── 🎯 Code-specific embeddings (AST-aware) ├── 🔄 Hybrid search (BM25 + Vector fusion) ├── 🧠 Cross-encoder reranking pipeline ├── 🌲 Symbol-aware boosting algorithms └── 📦 Context packs for domain scoping ``` ### Key Differentiators **1. Indexing Strategy:** - **PAMPA**: Persistent, function-level granularity - **General IDE**: On-demand, file-level processing **2. Search Algorithms:** - **PAMPA**: Multi-modal (keyword + semantic + reranking) - **General IDE**: Primary semantic similarity **3. Code Understanding:** - **PAMPA**: AST parsing, symbol extraction, signature matching - **General IDE**: Text-based semantic analysis **4. Specialization:** - **PAMPA**: Purpose-built for code search workflows - **General IDE**: General-purpose text search with semantic layer ## 📈 PAMPA v1.12 New Features ### 🎯 Scoped Search Filter results by file paths, languages, and custom tags for precise targeting. ### 🔄 Hybrid Search BM25 keyword matching fused with vector similarity for improved recall and precision. ### 🧠 Cross-Encoder Reranking Advanced neural reranking for higher quality result ordering. ### 🛠️ Multi-Project Support Context switching between different codebases with `--project` flags. ### 📦 Context Packs Reusable search profiles for domain-specific code discovery. ## 🎯 Use Case Recommendations **Choose PAMPA when:** - Working with large, complex codebases - Need specialized code search features - Require multi-project context switching - Want persistent, optimized search performance **Choose IDE Semantic Search when:** - Need integrated, zero-setup workflow - Working with mixed content (docs + code) - Prefer real-time file watching - Want simple, general-purpose search ## 🏆 Conclusion PAMPA v1.12 represents a specialized approach to code search, optimized for developer productivity through advanced indexing, hybrid algorithms, and code-aware features. While general-purpose IDE tools excel at integration and simplicity, PAMPA fills the gap for teams requiring sophisticated semantic code discovery capabilities. --- _Analysis based on synthetic benchmarks and architectural comparison. Performance may vary based on project size, configuration, and usage patterns._