Simba is an open-source, portable Knowledge Management System (KMS) specifically designed to integrate seamlessly with Retrieval-Augmented Generation (RAG) systems. It provides a comprehensive solution for managing, processing, and retrieving knowledge from various document sources to enhance AI applications with contextual information.

​
Key Features

  • 🔌 SDK: Comprehensive Python SDK (simba-sdk) for easy integration

  • 🧩 Modular Architecture: Flexible integration of vector stores, embedding models, chunkers, and parsers

  • 🖥️ Modern UI: User-friendly interface for managing document chunks and monitoring system performance

  • 🔗 Seamless Integration: Effortlessly connects with any RAG-based system

  • 👨‍💻 Developer-Centric: Simplifies complex knowledge management tasks

  • 📦 Open Source & Extensible: Community-driven with extensive customization options

​
System Architecture Overview

Simba employs a modular architecture with these key components:

  • Document Parsers: Parse and extract content from various document formats

  • Chunkers: Divide documents into semantically meaningful segments

  • Embedding Models: Convert text into vector representations

  • Vector Stores: Index and store embeddings for efficient retrieval

  • Retrieval Engine: Find relevant information using various retrieval strategies

  • API Layer: Expose functionality through a RESTful interface

  • SDK: Provide programmatic access to all functionality

​
Demo

​
Who is Simba for?

Simba is ideal for:

  • AI Engineers: Building RAG applications that require contextual knowledge

  • Developers: Creating context-aware applications with minimal boilerplate

  • Organizations: Seeking to leverage their internal knowledge for AI applications

​
Deployment Options

Simba offers two primary deployment models to suit different organizational needs:

Cloud

Get started using Simba through our Cloud offering, free of charge. Perfect for fast serverless deployment.

Self Hosted

Host your own full-featured Simba system. Ideal for on premise use cases. Complete control over your data & infra.

Both deployment options provide access to the same Simba SDK, allowing you to programmatically interact with your knowledge base.

Choose the system that best aligns with your requirements and proceed with the documentation.

Let’s get started and explore how Simba can empower your RAG projects!

Simba is an open-source, portable Knowledge Management System (KMS) specifically designed to integrate seamlessly with Retrieval-Augmented Generation (RAG) systems. It provides a comprehensive solution for managing, processing, and retrieving knowledge from various document sources to enhance AI applications with contextual information.

​
Key Features

  • 🔌 SDK: Comprehensive Python SDK (simba-sdk) for easy integration

  • 🧩 Modular Architecture: Flexible integration of vector stores, embedding models, chunkers, and parsers

  • 🖥️ Modern UI: User-friendly interface for managing document chunks and monitoring system performance

  • 🔗 Seamless Integration: Effortlessly connects with any RAG-based system

  • 👨‍💻 Developer-Centric: Simplifies complex knowledge management tasks

  • 📦 Open Source & Extensible: Community-driven with extensive customization options

​
System Architecture Overview

Simba employs a modular architecture with these key components:

  • Document Parsers: Parse and extract content from various document formats

  • Chunkers: Divide documents into semantically meaningful segments

  • Embedding Models: Convert text into vector representations

  • Vector Stores: Index and store embeddings for efficient retrieval

  • Retrieval Engine: Find relevant information using various retrieval strategies

  • API Layer: Expose functionality through a RESTful interface

  • SDK: Provide programmatic access to all functionality

​
Demo

​
Who is Simba for?

Simba is ideal for:

  • AI Engineers: Building RAG applications that require contextual knowledge

  • Developers: Creating context-aware applications with minimal boilerplate

  • Organizations: Seeking to leverage their internal knowledge for AI applications

​
Deployment Options

Simba offers two primary deployment models to suit different organizational needs:

Cloud

Get started using Simba through our Cloud offering, free of charge. Perfect for fast serverless deployment.

Self Hosted

Host your own full-featured Simba system. Ideal for on premise use cases. Complete control over your data & infra.

Both deployment options provide access to the same Simba SDK, allowing you to programmatically interact with your knowledge base.

Choose the system that best aligns with your requirements and proceed with the documentation.

Let’s get started and explore how Simba can empower your RAG projects!