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Releases: aurelio-labs/semantic-router

Release v0.0.25

27 Feb 07:42
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Full Changelog: v0.0.24...v0.0.25

Release v0.0.24

23 Feb 16:29
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Release v0.0.23

23 Feb 14:04
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Added image embeddings with VitEncoder by @bruvduroiu , new splitting methods from @simjak

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Full Changelog: v0.0.22...v0.0.23

v0.0.22

18 Feb 13:40
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Small hotfix for PineconeIndex and new notebook in the /docs demonstrating how to use it.

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Full Changelog: v0.0.21...v0.0.22

Release v0.0.21

18 Feb 08:45
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Release v0.0.21

Key new features include MistralAI API for Mistral LLMs and encoders by @dwmorris11, support for more scalable and persistent route layers using Pinecone by @Siraj-Aizlewood and @jamescalam, and new splitting mechanisms for Conversation objects to improve context support for routing decisions by @Siraj-Aizlewood.

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Full Changelog: v0.0.20...v0.0.21

Release v0.0.20

28 Jan 15:57
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Release v0.0.19

28 Jan 13:31
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We've added more flexible and accurate routes. By using route-specific score thresholds and the new route layer fit and evaluate methods, we can get optimal route layer performance in seconds! We have also added a few new example notebooks and support for OpenAI's 3rd generation embedding models and the new dimensions parameter that they introduce.

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Full Changelog: v0.0.18...v0.0.19

v0.0.18

24 Jan 12:45
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We now have Pydantic v2 support, this should help those of you using LangChain 0.1.x. For enterprise users, thanks to @arashaga we can now run both the encoder and LLM for dynamic routes using just Azure OpenAI!

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Full Changelog: v0.0.17...v0.0.18

v0.0.17

17 Jan 13:24
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Primarily bug fix for llama.cpp ModuleNotFoundError

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Full Changelog: v0.0.16...v0.0.17

Release v0.0.16

14 Jan 13:35
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As part of the latest updates to the Semantic Router, we've made significant strides in enhancing its capabilities and compatibility:

  • Full Local Support: We've added support for Local LLMs via LlamaCpp so that we can run dynamic routes fully local. Our initial tests show Mistral 7B with our grammar implementation to outperform GPT-3.5 as a dynamic route decision maker.

  • New Encoder Integrations: We're excited to announce the addition of the HuggingFace, TFIDF, and Azure OpenAI Encoders. These integrations significantly expand the router's ability to interface with a variety of language models.

  • Enhanced Python Compatibility: In this release, we've ensured backward-compatibility with Python 3.9, we expect to add full compatibility for Python 3.12 soon.

These developments reflect our ongoing effort to enhance the Semantic Router's language processing abilities and its adaptability across various platforms. We're proud to bring these features to our community and are grateful for the contributions from new and existing contributors.

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Full Changelog: v0.0.15...v0.0.16