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Ingester & Retriever: Add support for Weaviate #64

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merged 57 commits into from
May 8, 2024
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@yassinsws yassinsws commented Feb 19, 2024

Motivation

The primary goal of introducing a vector database is to enhance Iris's ability to respond accurately based on the content of lecture slides. This implementation sets the foundational steps toward achieving a robust system where lecture contents are ingested and queried effectively. By initializing the vector database and defining the initial schema and ingestion mechanisms.

Summary by CodeRabbit

  • New Features

    • Introduced new environmental variables for better configuration.
    • Added extensive lecture and repository retrieval capabilities.
    • Implemented new schemas for organizing lecture and repository data in the database.
    • Updated requirements for improved compatibility and performance.
  • Enhancements

    • Enhanced message formatting in chat interactions.
    • Expanded data transfer objects to include more detailed attributes for lectures.
  • Documentation

    • Updated example environment configurations to guide setup.

Hialus and others added 2 commits March 7, 2024 00:23
… a httpx version >= 0.26 and ollama needs a version >= 0.25.2 and 0.26<,

Finished ingesting and retrieval classes for the lectures.
Added hybrid search instead of normal semantic search.
yassinsws and others added 7 commits March 18, 2024 00:30
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@ls1intum ls1intum deleted a comment from coderabbitai bot May 5, 2024
@yassinsws yassinsws dismissed stale reviews from Hialus and coderabbitai[bot] May 5, 2024 13:16

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Actionable comments posted: 3

@ls1intum ls1intum deleted a comment from coderabbitai bot May 7, 2024
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coderabbitai bot previously approved these changes May 7, 2024
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Actionable comments posted: 1

@ls1intum ls1intum deleted a comment from coderabbitai bot May 7, 2024
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Looks good 👍🏽

@Hialus Hialus merged commit 8f6f573 into main May 8, 2024
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@Hialus Hialus deleted the feature/datastore branch May 8, 2024 14:29
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4 participants