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Releases: mindflowai/mindflow

Fix break in login and improve comments in chat command.

04 Jul 14:46
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v0.6.0

Updated README.md to clarify Pinecone account requirement, added newl…

Fix conversation history bug.

03 Jul 03:02
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The most recent message in the conversation was not being used as context.

Streaming responses from OpenAI. Lazy importing.

03 Jul 02:52
d13c1cb
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Asynchronous runtime, performance and quality improvements.

24 Jun 21:51
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Implemented asynchronous runtime to improve performance, and also made other performance improvements to the mf diff functionality which also improves performance and quality on the commit and pr commands. This release also comes with a big refactoring of the code base, and is starting to separate out the client-side logic (CLI) from the core library - i.e. the stuff for document segmentation, chat history management, indexing, and managing API requests to GPT.

Improve code quality and performance.

20 Jun 23:52
9e8f139
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  • Small refactors
  • Improved ConfiguredModel and MindFlowModel abstractions for clarity, extensibility, and performance.

Patching last release.

20 Jun 21:54
5a32999
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Merge pull request #123 from mindflowai/patch

Patch broken release

General code quality and performance improvements. Refactored codebase.

20 Jun 21:45
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v0.5.0

Update version to 0.5.0 and fix save method in json store_traits: Co-…

Refactor, Include Pinecone Support, Update Indexing Performance and Accuracy. Ability to use Anthropic models.

24 Apr 20:37
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Big Release! This one deserves 0.4.0.

  • Improved indexing and query performance.
  • Use Pinecone to store vectors for speed and scale.
  • Refactor the codebase to be more clean and generic.
  • Add support for Anthropic's Claude and Claude Instance models.

Fix Store issues and add commit co-author

28 Mar 21:57
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v0.3.19

Updated version to 0.3.19 and made minor formatting changes to commit…

GPT 4, Config, Slight indexing performance boost

18 Mar 17:43
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  • Added GPT 4 and configuration for the model used to generate MindFlow responses.
  • Improved performance and generalization of the object model.