Use Cases

Unlock the Power of
RAG

Unlock the Power of
RAG

Generate fact based responses with peace of mind.

Supports your RAG use case

Supports your RAG use case

RAG is a general architecture that can be applied in many ways to get your data into an LLM.

Question Answering

Synthesizing answers requires multiple sources of information and opens up domain specific areas.

Question Answering

Synthesizing answers requires multiple sources of information and opens up domain specific areas.

Question Answering

Synthesizing answers requires multiple sources of information and opens up domain specific areas.

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Chatbot / Co-Pilot

Enabling conversational interaction with your domain specific knowledge, including nuances of dialog context and history.

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Chatbot / Co-Pilot

Enabling conversational interaction with your domain specific knowledge, including nuances of dialog context and history.

Chatbot Icon

Chatbot / Co-Pilot

Enabling conversational interaction with your domain specific knowledge, including nuances of dialog context and history.

Enterprise Search

Better results with semantic retrieval and ability to answer complex queries that correlate several data sources.

Enterprise Search

Better results with semantic retrieval and ability to answer complex queries that correlate several data sources.

Enterprise Search

Better results with semantic retrieval and ability to answer complex queries that correlate several data sources.

Agents

Agents performing tasks do so based on external environment knowledge. RAG helps you deciding how to handle request.

Agents

Agents performing tasks do so based on external environment knowledge. RAG helps you deciding how to handle request.

Agents

Agents performing tasks do so based on external environment knowledge. RAG helps you deciding how to handle request.

RAG Fine Tuning

RAG Fine Tuning

Create synthetic scenarios

Fine tune results by creating synthetic scenarios.

Create synthetic scenarios

Fine tune results by creating synthetic scenarios.

Create synthetic scenarios

Fine tune results by creating synthetic scenarios.

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Visualize metrics

Visualize metrics on model score cards and evaluations.

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Visualize metrics

Visualize metrics on model score cards and evaluations.

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Visualize metrics

Visualize metrics on model score cards and evaluations.

Perform failure extraction

Perform failure scenario extraction to improve your fine-tuning set.

Perform failure extraction

Perform failure scenario extraction to improve your fine-tuning set.

Perform failure extraction

Perform failure scenario extraction to improve your fine-tuning set.

Evaluate LLMs with Confidence

Evaluate LLMs with Confidence

Okareo enables developers to confidently ship applications that use AI/LLMs through synthetic test scenario generation, driving intelligent evaluation, fine-tuning, error reporting, and health monitoring.

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Join the trusted

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