Retrieval Augmented Generation (RAG)

Build fast, high-quality AI experiences with Orama. Everything is built in, from search, to reasoning, and LLM integrations. Just add your data and start chatting.

Get Started

Retrieval Augmented Generation (RAG)

Build fast, high-quality AI experiences with Orama. Everything is built in, from search, to reasoning, and LLM integrations. Just add your data and start chatting.

Get Started

Retrieval Augmented Generation (RAG)

Build fast, high-quality AI experiences with Orama. Everything is built in, from search, to reasoning, and LLM integrations. Just add your data and start chatting.

Get Started

Context Retrieval

Let Orama decide how to retrieve context on each message. Full-text, vector and hybrid search are built-in into Orama.

Custom Training

Train Orama in just a few shots. Customize and A/B test the system prompts. Visualize quality and speed performances.

Run Async JavaScript

Run async JavaScript hooks to enrich the context with information coming from any third-party system.

A Complete RAG Pipeline

Orama gives you a fully orchestrated retrieval-augmented generation flow. Automatically.


Every step of the pipeline is visual, transparent, and customizable: from interpreting the user’s query, to running full-text, vector, or hybrid search, to optimizing filters, merging results, and generating the final answer.

The pipeline adapts intelligently to your data and your configuration. You can plug in JavaScript hooks at any stage, fine-tune how retrieval works, or simply rely on Orama’s optimized defaults for fast, production-ready results.

Whether you're powering search, chat, or complex AI workflows, Orama handles all the logic behind the scenes, so you get reliable, explainable responses without managing any of the complexity.

Choose your LLM - or use an offline one.

Choose which LLM to use for each interaction. Orama connects to all the principal LLM providers out of the box. Need more data privacy? Use an offline model - no data will be shared with OpenAI, Anthropic, or any other company.

To maximize performance, embedding models are always offline.

OpenAI

OpenAI

OpenAI

Anthropic

Anthropic

Anthropic

Google

Google

Google

Groq

Groq

Groq

Orama

Orama

Orama

Enrich Your Context with JavaScript Hooks

The pipeline adapts intelligently to your data and your configuration. You can plug in JavaScript hooks at any stage, fine-tune how retrieval works, or simply rely on Orama’s optimized defaults for fast, production-ready results.

Enrich Your Context with JavaScript Hooks

The pipeline adapts intelligently to your data and your configuration. You can plug in JavaScript hooks at any stage, fine-tune how retrieval works, or simply rely on Orama’s optimized defaults for fast, production-ready results.

Enrich Your Context with JavaScript Hooks

The pipeline adapts intelligently to your data and your configuration. You can plug in JavaScript hooks at any stage, fine-tune how retrieval works, or simply rely on Orama’s optimized defaults for fast, production-ready results.

System Prompts A/B Testing

Orama supports A/B testing of system prompts at multiple layers of the pipeline. Define variations for the planner, optimizer, and answer generator; route traffic across versions; and measure retrieval accuracy and response quality to converge on the best-performing configuration.

System Prompts A/B Testing

Orama supports A/B testing of system prompts at multiple layers of the pipeline. Define variations for the planner, optimizer, and answer generator; route traffic across versions; and measure retrieval accuracy and response quality to converge on the best-performing configuration.

System Prompts A/B Testing

Orama supports A/B testing of system prompts at multiple layers of the pipeline. Define variations for the planner, optimizer, and answer generator; route traffic across versions; and measure retrieval accuracy and response quality to converge on the best-performing configuration.

Few-Shots Training

Orama takes the work out of few-shot training by generating example inputs and outputs automatically. You simply approve or edit them, giving the system immediate guidance on how to understand queries, retrieve data, and shape answers - without ever touching fine-tuning.

Few-Shots Training

Orama takes the work out of few-shot training by generating example inputs and outputs automatically. You simply approve or edit them, giving the system immediate guidance on how to understand queries, retrieve data, and shape answers - without ever touching fine-tuning.

Few-Shots Training

Orama takes the work out of few-shot training by generating example inputs and outputs automatically. You simply approve or edit them, giving the system immediate guidance on how to understand queries, retrieve data, and shape answers - without ever touching fine-tuning.

Context Merchandising

Some documents are too important to leave to ranking algorithms. With Orama, you can pin them at the full-text or vector level, ensuring they’re always injected into the RAG pipeline’s context window. The system blends pinned content with dynamically retrieved results, creating responses that stay accurate, grounded, and aligned with your priorities.

Context Merchandising

Some documents are too important to leave to ranking algorithms. With Orama, you can pin them at the full-text or vector level, ensuring they’re always injected into the RAG pipeline’s context window. The system blends pinned content with dynamically retrieved results, creating responses that stay accurate, grounded, and aligned with your priorities.

Context Merchandising

Some documents are too important to leave to ranking algorithms. With Orama, you can pin them at the full-text or vector level, ensuring they’re always injected into the RAG pipeline’s context window. The system blends pinned content with dynamically retrieved results, creating responses that stay accurate, grounded, and aligned with your priorities.