Turbocharge GenAI Development with Plug-and-Play Building Blocks
ragbits GenAI Framework
ragbits delivers modular, open-source building blocks for fast GenAI app development, giving you the chance to deploy RAG in hours, not days. Use the full stack with pre-built APIs and UI or integrate modules into existing projects for maximum flexibility.
Benefits of Using ragbits
Our stack of LLM building blocks, enables acceleration of solution development
Accelerate Project Kickoff
Leverage pre-built components to develop and deploy an MVP-level LLM solution in under 2 weeks
Future-Proof Your AI Stack
Easily adapt to evolving technologies by seamlessly replacing base models, vector databases, and enterprise integrations
Enhance Security and Monitoring
Mitigate hallucinations, systematically evaluate and optimize prompts, and ensure complete observability for reliable AI performance
Key Features
With ragbits, you get a modular, high-performance framework designed to make building and deploying RAG applications faster and more efficient than ever.
Flexible, Scalable, and Future-Proof GenAI
Hot-swappable LLMs
Integrate with over 100 LLMs through LiteLLM or run local models without modifying your application code.
Type-safe LLM calls
Use Python generics to enforce strict type safety in LLM interactions, reducing runtime errors.
VectorStore Compatibility
Connect to Qdrant, PgVector, and other vector databases with built-in support for easy storage and retrieval.
Developer Tools Included
Execute ingestion, query vector stores, and test RAG pipelines directly from the command line.
Modular Installation
Install only the required components, minimizing dependencies and reducing resource overhead.
Rapid RAG Implementation
Ingest 20+ Document Formats
Process PDFs, HTML, spreadsheets, presentations, and other structured or unstructured formats.
Structured Data Processing
Extract and interpret tables, images, and complex layouts with built-in Vision-Language Model (VLM) support.
Native Data Source Connectors
Integrate with S3, GCS, Azure, and other storage systems using prebuilt connectors.
Scalable Ingestion Pipeline
Use Ray-based parallel processing to handle large datasets efficiently.
Reliable Deployment & Monitoring
Built-in Observability
Track application performance with OpenTelemetry integration and detailed CLI insights.
Built-in Testing & Evaluation
Use promptfoo to test, validate, and refine prompts before deployment.
Automatic Optimization
Continuously assess and enhance model performance with integrated evaluation tools.
Intuitive Testing UI
Interactively test and optimize applications through a user-friendly UI (coming soon!).
Using Modules Independently
ragbits modules can be used independently in existing projects.
Explore Our Latest Implementations with ragbits
project
AI-Driven Report Generation – Boosting Efficiency with 98% Recall
The system boosted report generation efficiency, achieving 98% recall in retrieving insights. It provides structured recommendations, auto-generates report entries, and reduces manual…
project
Revolutionizing Geospatial Tech with AI-Powered Assistant
Our solution enhanced the client’s tool, improving user experience, streamlining onboarding, and extending accessibility to non-technical users, making complex data easier…
project
Accelerating GenAI Development with ragbits
ragbits enables developers to bypass repetitive tasks, jumpstarting projects with pre-built components.
The Components of ragbits
ragbits provides ready-to-use building blocks for GenAI applications. Here’s what we cover:
Conversations
Manages conversation history and collects user feedback.
Flow Controls
Orchestrates multi-stage workflows for advanced interactions. Acts as an entry point to agentic workflows.
Document Search
Performs vector searches to retrieve relevant documents. Includes a benchmarking framework to enhance retrieval accuracy.
Structured Querying
Queries structured data sources with precision. Powered by db-ally, deepsense.ai’s open-source library.
Response Caching
Implements a caching layer to reduce costs and improve response times for assistant applications.
Observability & Audit
Tracks user queries and system events, enabling efficient debugging and issue resolution.
Guardrails
Ensures response safety and relevance, protecting applications from unwanted behavior.
… and more
All modules are designed for seamless integration and synergy. New components can be easily introduced into the ecosystem.
