Context server

Orama integrates data from all your sources of product information and provides an MCP server for AI Agents. It generates llm.text, README.md and a queryable endpoint optimized for AI. Don’t ask Agents to crawl your website or query a search engine in order to understand your offering.

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Context server

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Context server

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Sources

Conversations

Slack, Google groups, Discord Teams, Email...

Conversations

Slack, Google groups, Discord Teams, Email...

E-commerce

Commerce Layer, Big Commerce, Algolia, Shopify, Magento, ElasticPath, CommerceTools...

E-commerce

Commerce Layer, Big Commerce, Algolia, Shopify, Magento, ElasticPath, CommerceTools...

Databases

Postgres, MySQL, MongoDB, Oracle, Azure SQL, DynamoDB

Databases

Postgres, MySQL, MongoDB, Oracle, Azure SQL, DynamoDB

Tickets/cases

Github issues, Jira, Zendesk, Salesforce Support, Cloud, FreshDesk, ServiceNow, Zoho

Tickets/cases

Github issues, Jira, Zendesk, Salesforce Support, Cloud, FreshDesk, ServiceNow, Zoho

Code

Github, Gitlab, Azure, AWS

Code

Github, Gitlab, Azure, AWS

Documentation

PDF, CSV, DOC, PPT

Documentation

PDF, CSV, DOC, PPT

Knowledge Bases / CMS

Notion, Confluence, Contentful, Sanity, Strapi, Wordpress, Ghost, Hygraph, Storyblok

Knowledge Bases / CMS

Notion, Confluence, Contentful, Sanity, Strapi, Wordpress, Ghost, Hygraph, Storyblok

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Features

Discover the key benefits of partnering with us.

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Customizable ingestion logic

Orama auto-detects how to understand ingested data but custom javascript parsers and LLM-based parsers can be configured into the data pipeline

Customizable ingestion logic

Orama auto-detects how to understand ingested data but custom javascript parsers and LLM-based parsers can be configured into the data pipeline

Customizable ingestion logic

Orama auto-detects how to understand ingested data but custom javascript parsers and LLM-based parsers can be configured into the data pipeline

Understands databases

A reasoning LLM is used to dynamically select which data is needed from tables and construct “records” that become part of context for the Context Server

Understands databases

A reasoning LLM is used to dynamically select which data is needed from tables and construct “records” that become part of context for the Context Server

Understands databases

A reasoning LLM is used to dynamically select which data is needed from tables and construct “records” that become part of context for the Context Server

Image enhancement

Images which are part of context get enriched and translated so that context retrieval is more accurate

Image enhancement

Images which are part of context get enriched and translated so that context retrieval is more accurate

Image enhancement

Images which are part of context get enriched and translated so that context retrieval is more accurate

Summarizes conversations

Conversational sources like discussion groups, tickets, email and Slack/ Teams/ Discord are ingested with LLM-based summaries that point back to the original conversation

Summarizes conversations

Conversational sources like discussion groups, tickets, email and Slack/ Teams/ Discord are ingested with LLM-based summaries that point back to the original conversation

Summarizes conversations

Conversational sources like discussion groups, tickets, email and Slack/ Teams/ Discord are ingested with LLM-based summaries that point back to the original conversation

Code understanding

For technical products and example code, Orama understands code relationships and serves technical explanations and code samples as model context

Code understanding

For technical products and example code, Orama understands code relationships and serves technical explanations and code samples as model context

Code understanding

For technical products and example code, Orama understands code relationships and serves technical explanations and code samples as model context

Advanced web crawler

Of course Orama includes a web crawler which reads external and internal sources including imagery and dynamically rendered content

Advanced web crawler

Of course Orama includes a web crawler which reads external and internal sources including imagery and dynamically rendered content

Advanced web crawler

Of course Orama includes a web crawler which reads external and internal sources including imagery and dynamically rendered content

Learns what works

Built for speed, extensible in JavaScript

Every phase of context, answer and engagement can be customized in natural language and JavaScript

Search/Vector

Connectors

LLM

Observability

Dashbaord

Prompt Engineering

Data connectors with Airbyte

Fine-Tuning

Chaining

PDF/Office parsing

Scraper

UI Components

Contacts

Ask whatever you have in your mind

Whether you have questions or are ready to discuss your business, we’re here to help. Reach out today.

info@orama.com

Orama Slack Community

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Contacts

Ask whatever you have in your mind

Whether you have questions or are ready to discuss your business, we’re here to help. Reach out today.

info@orama.com

Orama Slack Community

Contacts

Ask whatever you have in your mind

Whether you have questions or are ready to discuss your business, we’re here to help. Reach out today.

info@orama.com

Orama Slack Community

Get the Orama newsletter

Subscribe to our newsletter and stay updated