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discourse-ai/tokenizers/README.md

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Refinements to embeddings and tokenizers (#61) * Refinements to embeddings and tokenizers * lint * Truncate with tokenizers for summary * fix
2023-05-15 14:10:42 -04:00
## bert-base-uncased.json
Licensed under Apache License
## claude-v1-tokenization.json
Licensed under MIT License
FEATURE: Embeddings to main db (#99) * FEATURE: Embeddings to main db This commit moves our embeddings store from an external configurable PostgreSQL instance back into the main database. This is done to simplify the setup. There is a migration that will try to import the external embeddings into the main DB if it is configured and there are rows. It removes support from embeddings models that aren't all_mpnet_base_v2 or OpenAI text_embedding_ada_002. However it will now be easier to add new models. It also now takes into account: - topic title - topic category - topic tags - replies (as much as the model allows) We introduce an interface so we can eventually support multiple strategies for handling long topics. This PR severely damages the semantic search performance, but this is a temporary until we can get adapt HyDE to make semantic search use the same embeddings we have for semantic related with good performance. Here we also have some ground work to add post level embeddings, but this will be added in a future PR. Please note that this PR will also block Discourse from booting / updating if this plugin is installed and the pgvector extension isn't available on the PostgreSQL instance Discourse uses.
2023-07-13 11:41:36 -04:00
## all-mpnet-base-v2.json
Licensed under Apache License
FEATURE: Llama2 for summarization (#116)
2023-07-27 12:55:32 -04:00
## llama-2-70b-chat-hf
FEATURE: Support for locally infered embeddings in 100 languages (#115) * FEATURE: Support for locally infered embeddings in 100 languages * add table
2023-07-27 14:50:03 -04:00
Licensed under LLAMA 2 COMMUNITY LICENSE AGREEMENT
## multilingual-e5-large
Licensed under MIT License
FEATURE: Bge-large-en embeddings via Cloudflare Workers AI API (#241) * FEATURE: Bge-large-en embeddings via Cloudflare Workers AI API * forgot a file * lint
2023-10-04 12:47:51 -04:00
## bge-large-en
Licensed under MIT License
Mixtral (#376) Add both Mistral and Mixtral support. Also includes vLLM-openAI inference support. Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
2023-12-26 12:49:55 -05:00
## mixtral
Licensed under Apache 2.0 License
FEATURE: Add BGE-M3 embeddings support (#569) BAAI/bge-m3 is an interesting model, that is multilingual and with a context size of 8192. Even with a 16x larger context, it's only 4x slower to compute it's embeddings on the worst case scenario. Also includes a minor refactor of the rake task, including setting model and concurrency levels when running the backfill task.
2024-04-10 16:24:01 -04:00
## bge-m3
Licensed under MIT License