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v2.0.0 - Vector Search Capabilities with Azure Cog Search
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@pablomarin pablomarin released this 19 Aug 06:03
· 141 commits to main since this release
v2.0.0
1f17222

What's New in this 2.0 release:

  • This is a major change , jumping versions from 1.7 to 2.0
  • The way documents search work changes from Semantic Search results to Vector Similarity results
  • Now two indexes coexist: text-based indexes and its corresponding vector-based indexes
  • Vectorization of chunks happens on demand as users discover documents (vs embedding all documents at ingestion)
  • Azure Document Intelligence (former Form Recognizer) is added to the repo in a new Notebook 4 when dealing with Complex PDF files. Manual chunking (per page) and push to vector-only index
  • Improvements in prompts and functions
  • New Architecture image
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