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Feat Text Embedding #175
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Feat Text Embedding #175
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CodeQL analysis is complete for PR #175 |
- [+] feat(text-embedding.ts): add textEmbedding function to handle text embedding requests
- [+] chore(constant.ts): add EmbeddingPath constant for text embedding feature (work in progress)
- [+] feat(text-embedding.ts): add support for reading CSV file, parsing it, and getting embeddings - [+] chore(package.json): add @types/papaparse dependency - [+] chore(yarn.lock): update @types/papaparse to version 5.3.14
- [+] feat(text-embedding.ts): add support for specifying model in textEmbedding function - [+] feat(text-embedding.ts): refactor getTextEmbeddingsFromCSV to use textEmbedding function for getting embeddings
- [+] refactor(text-embedding.ts): update comment to clarify that embeddings are obtained using textEmbedding function
- [+] feat(text-embedding.ts): add support for getting provider from state - [+] fix(text-embedding.ts): change error messages to use localized strings - [+] fix(text-embedding.ts): change error messages to include provider information - [+] fix(text-embedding.ts): change error messages for CSV parsing and reading errors to use localized strings
- [+] chore(text-embedding.ts): chore code comment about Python being slow
- [+] fix(text-embedding.ts): improve error handling in getTextEmbeddingsFromCSV function - [+] fix(cn.ts): update FileReader error message to include file name - [+] fix(en.ts): update FileReader error message to include file name - [+] fix(id.ts): update FileReader error message to include file name
- [+] feat(openai.ts): add text embedding functionality and import necessary functions from text-embedding.ts
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- [+] chore(locales): add missing translation for error messages in cn, en, and id locales
- [+] chore(text-embedding.ts): rename file from textEmbedding.ts to text-embedding.ts - [+] docs(text-embedding.ts): add author information for CsvRow interface - [+] feat(text-embedding.ts): add function to embed input texts using specified model - [+] feat(text-embedding.ts): add function to read CSV file and retrieve text embeddings
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Still WIP LOL