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Alberto Diaz Martin edited this page Nov 30, 2023 · 5 revisions

ENGENIA help to process your data and make it available for your applications. The approach is to use RAG (Retrieval Augmented Generation) to help with the data processing and the data augmentation.

Data Pipelines

⚠️ To be implemented.

Content Source Catalog

  • Qdrant. The Data Qdrant project contains functionalities related to the Qdrant vector database. More info

  • Cosmos DB. Cosmos Data project primarily contains Cosmos DB implementations based on the abstractions provided by Encamina.Enmarcha.Data.Abstractions, as well as some other utilities related to Cosmos DB. More info

  • Entity Framework. Entity Framework Data project primarily contains Entity Framework implementations based on the abstractions provided by Encamina.Enmarcha.Data.Abstractions, as well as some other utilities related to Entity Framework. More info

Kernel Memory

  • Document Connectors. Document Connectors specializes in reading information from files in various formats and subsequently chunking it. More info

  • Memory Connectors. Memory Connectors is a project that allows adding specific IMemoryStore instances. More info

Embedding

⚠️ To be implemented.

Vector DB

⚠️ To be implemented.

ACL

⚠️ To be implemented. ACL or Access Control List is a module to manage the access to the data at the knowleged data base.

Content Filtering

⚠️ To be implemented.

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