Integration of Elium content into an enterprise RAG

Three integration approaches

Elium offers several methods to use its content in the context of a chatbot or a Retrieval-Augmented Generation (RAG) system. Each approach presents specific advantages according to your technical and organisational needs :

1. Connect an AI assistant via the MCP protocol for direct, secure access.

2. Dynamically collect relevant content via semantic search.

3. Query directly Elium AI to obtain a generated response.

1. Integration via the MCP protocol

The Model Context Protocol (MCP) is an open standard that allows AI assistants and external applications to securely access the content of your Elium platform in real time. It is the simplest way to connect Elium to an existing AI ecosystem (Claude, ChatGPT or your own agents), without any export or custom development.

Features

• Open standard natively supported by major AI assistants (ChatGPT, Claude…) and agent frameworks

• Respect for user access rights through OAuth 2.0 authentication

• Real-time data, with no synchronization or post-processing

• Quick implementation: configured in minutes, no code required

Limitations

• Requires an MCP-compatible client or framework

• Less fine-grained control over the retrieval strategy than an API integration

Implementation

Each Elium instance exposes its MCP endpoint at:

https://your-platform-name.elium.com/services/mcp

Authentication is handled via OAuth 2.0: manual creation of an OAuth client from the admin panel (recommended), or Dynamic Client Registration (DCR) on request to support.

👉 See our dedicated MCP article for the step-by-step tutorial (ChatGPT, Claude).

2. Elium semantic search

The most reliable solution for enriching the context of a conversational agent. It uses Elium's internal search engine without directly querying an LLM. The results provided can be injected into the context of an LLM or used to justify a response.

Features

• Optimal relevance of results thanks to semantic engine

• Respect for user access rights

• Possibility of limiting to the context of a Smart Assistant

• Real-time updating of data

Results provided

• Text extracts relevant to the query

• References to source articles and attachments

• Relevance scores for each result

Example query

query SemanticSearchQuery {
  me {
    answer {
      semanticSearch(query: { text: "Où es hébergé Elium?", limit: 5 }) {
        stories {
          score
          story { slug version { title } }
          asset {
            ... on FileAsset {
              filename
              downloadUrl
            }
          }
          content
        }
      }
    }
  }
}

{
  "data": {
    "me": {
      "answer": {
        "semanticSearch": {
          "stories": [
            {
              "score": 63,
              "story": {
                "slug": 1214,
                "version": {
                  "title": "Elium - Dossier technique et sécurité"
                }
              },
              "asset": {
                "filename": "202402 elium - Dossier technique et sécurité.docx",
                "downloadUrl": "https://demo-consulting.elium.com/api/story/asset/1214/download/1408/202402%20elium%20-%20Dossier%20technique%20et%20se%CC%81curite%CC%81.docx?g=1"
              },
              "content": "nées.\n· Centre de données de Google (GCP)\n· Centre de données de 3DS Outscale (Outscale)\nPour toutes\n les entreprises qui exploitent ces centres de données, nous avons et nous maintenons des contrats contenant des clauses sur la confidentialité des informations et des données personnelles. [...]"
            },
            {
              "score": 62,
              "story": {
                "slug": 1304,
                "version": {
                  "title": "Elium - Legal - Standard contract templates"
                }
              },
              "asset": {
                "filename": "202409 elium - Dossier technique et sécurité.pdf",
                "downloadUrl": "https://demo-consulting.elium.com/api/story/asset/1304/download/1483/202409%20elium%20-%20Dossier%20technique%20et%20se%CC%81curite%CC%81.pdf?g=1"
              },
              "content": "icielle\nLa solution Elium intègre des fonctionnalités basées sur de l’intelligence artificielle. Il \ns’agit, par\nexemple, d'assistants intelligents qui aident les utilisateurs à trouver les informations qu'ils\nrecherchent. [...]"
            },
            ...
          ]
        }
      }
    }
  }
}

3. Querying Elium AI directly

This method simulates a query via the Elium user interface and returns a complete response generated by the AI engine, along with the sources used. This is a good solution for simple use cases, especially if the agent is not enriched with additional context.

Features

• Simplicity of implementation

• Structured responses and integrated references

• Compatible with existing Smart Assistants

Example query

query AnswerQuery {
  me {
    answer {
      answer(query: "Where is Elium hosted?") {
        text
        sources {
          ... on Story {
            slug
            version { title }
          }
          ... on AnswerAssetSource {
            story { slug version { title } }
            asset {
              ... on FileAsset {
                filename
                downloadUrl
              }
            }
          }
        }
      }
    }
  }
}

{
  "data": {
    "me": {
      "answer": {
        "answer": {
          "text": "Elium is hosted in the **Google data center** located in **Saint-Ghislain**, Belgium, as well as in other data centers in **Europe**.",
          "sources": [
            {
              "story": {
                "slug": 1304,
                "version": {
                  "title": "Elium - Legal - Standard contract templates"
                }
              },
              "asset": {
                "filename": "202409 elium - Technical and safety file.pdf",
                "downloadUrl": "https://demo-consulting.elium.com/api/story/asset/1304/download/1483/202409%20elium%20-%20Dossier%20technique%20et%20se%CC%81curite%CC%81.pdf?g=1"
              }
            },
            {
              "story": {
                "slug": 1214,
                "version": {
                  "title": "Elium - Technical and safety file"
                }
              },
              "asset": {
                "filename": "202402 elium - Technical and safety file.docx",
                "downloadUrl": "https://demo-consulting.elium.com/api/story/asset/1214/download/1408/202402%20elium%20-%20Dossier%20technique%20et%20se%CC%81curite%CC%81.docx?g=1"
              }
            }
          ]
        }
      }
    }
  }
}

Conclusion

Each method has its advantages, depending on the objectives and constraints:

To connect existing AI assistants, the MCP integration is the most direct route. For custom RAG systems requiring relevant results, data security and system scalability, we recommend the semantic search approach. This method offers the best balance between simplicity of integration and quality of results.

For technical questions or specific requirements, please contact the Elium Support team.