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Ingester & Retriever
: Add support for Weaviate
#64
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Postpone the ingestion methods of the lectures for now until we get the format of the letures, first basic implementation of ingest and retrieve methods for the code
… 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.
fixed openai dalle class
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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Actionable comments posted: 3
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Actionable comments posted: 1
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Looks good 👍🏽
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
Enhancements
Documentation