Configurable RAG Platform with Advanced
Document Processing & AnalyticsBuild powerful RAG applications with complete control over your pipeline. Configure document pre-processing, customize chunking strategies, select embedding models, design result templates, and integrate seamlessly with your applications through our flexible API.
Flexibility & Control
Complete customization and control over every aspect of your RAG pipeline with powerful configuration options
- Flexible Embedding Configuration
- Choose from multiple embedding models including OpenAI, Cohere, and local models. Configure dimensions, normalize vectors, and test similarity interactively.
- Customizable Pipeline Stages
- Configure each stage of your RAG pipeline independently. Mix and match retrieval strategies, context assembly methods, and LLM integrations.
- Template & Response Customization
- Design custom prompt templates, response formats, and API schemas. Control output structure, metadata inclusion, and error handling.
- Real-time Configuration Testing
- Test your configurations instantly with live preview. Validate changes before deployment with built-in testing interface and performance metrics.
Enterprise-Grade Document Intelligence
Advanced capabilities for document processing, retrieval, and analytics
Advanced Document Processing
Process PDFs with OCR (Tesseract, EasyOCR, PaddleOCR), Excel/CSV with custom parsing, HTML with tag stripping. Supports batch uploads, progress tracking, and format-specific preprocessing settings.
Intelligent Chunking & Embeddings
Choose from fixed-size, semantic, recursive, or document-based chunking. Configure overlap, separators, and metadata preservation. Support for OpenAI, Cohere embeddings with real-time preview.
RAG Pipeline Testing Suite
Test embeddings quality, validate RAG pipeline end-to-end, and verify API endpoints. Interactive testing interface with similarity scores, response times, and performance metrics.
Hybrid Search & Retrieval
Combine semantic and keyword search with configurable strategies. Query expansion, rewriting, intent classification. Dynamic context assembly with reranking and LLM-specific optimization.
Comprehensive Analytics
D3.js visualizations for document relationships, query performance trends, score distributions. Waterfall charts for pipeline stages, bottleneck identification, and cost analysis.
API & Integration
Auto-generated API keys with rate limiting. Python, JavaScript, TypeScript SDKs. Built-in endpoint testing, webhook support, and OpenAPI documentation.
Processing Speed
Intelligent Chunking Strategies
Configure semantic, fixed-size, recursive, or document-based chunking with real-time preview. Optimize context windows for different LLMs with configurable overlap and metadata preservation.
Real-Time Testing & Validation
Test embeddings quality, validate RAG pipeline end-to-end, and verify API endpoints with built-in testing interfaces and performance metrics.
Advanced Analytics & Metrics Dashboard
Monitor performance with D3.js visualizations showing document relationships, query trends, score distributions, and pipeline bottlenecks. Track API usage, costs, and system health in real-time.
Rich Configuration Platform
Comprehensive configuration control: Customize every aspect of your RAG pipeline from document processing and chunking strategies to embedding models, retrieval methods, and response formatting - all with intuitive interfaces and real-time validation.