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Clelia Astra Bertelli

as-cle-bert
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https://www.cleliasportfolio.xyz

AI & ML interests

Biology + Artificial Intelligence = ā¤ļø | AI for sustainable development, sustainable development for AI | Researching on Machine Learning Enhancement | I love automation for everyday things | Blogger | Open Source

Recent Activity

replied to their post about 1 hour ago
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?šŸ—‚ļø What if I told you that you can do it within three to six lines of code?šŸ¤Æ Well, with my latest open-source project, š¢š§š šžš¬š­-ššš§š²š­š”š¢š§š  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!šŸš€ How? It's pretty simple! šŸ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown) šŸ“‘ The PDF text is extracted using LlamaIndex readers šŸ¦› The text is chunked exploiting Chonkie šŸ§® The chunks are embedded thanks to Sentence Transformers models šŸ—„ļø The embeddings are loaded into a Qdrant vector database And you're done!āœ… Curious of trying it? Install it by running: š˜±š˜Ŗš˜± š˜Ŗš˜Æš˜“š˜µš˜¢š˜­š˜­ š˜Ŗš˜Æš˜Øš˜¦š˜“š˜µ-š˜¢š˜Æš˜ŗš˜µš˜©š˜Ŗš˜Æš˜Ø And you can start using it in your python scripts!šŸ Don't forget to star it on GitHub and let me know if you have any feedback! āž”ļø https://github.com/AstraBert/ingest-anything
replied to their post 2 days ago
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?šŸ—‚ļø What if I told you that you can do it within three to six lines of code?šŸ¤Æ Well, with my latest open-source project, š¢š§š šžš¬š­-ššš§š²š­š”š¢š§š  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!šŸš€ How? It's pretty simple! šŸ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown) šŸ“‘ The PDF text is extracted using LlamaIndex readers šŸ¦› The text is chunked exploiting Chonkie šŸ§® The chunks are embedded thanks to Sentence Transformers models šŸ—„ļø The embeddings are loaded into a Qdrant vector database And you're done!āœ… Curious of trying it? Install it by running: š˜±š˜Ŗš˜± š˜Ŗš˜Æš˜“š˜µš˜¢š˜­š˜­ š˜Ŗš˜Æš˜Øš˜¦š˜“š˜µ-š˜¢š˜Æš˜ŗš˜µš˜©š˜Ŗš˜Æš˜Ø And you can start using it in your python scripts!šŸ Don't forget to star it on GitHub and let me know if you have any feedback! āž”ļø https://github.com/AstraBert/ingest-anything
posted an update 3 days ago
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?šŸ—‚ļø What if I told you that you can do it within three to six lines of code?šŸ¤Æ Well, with my latest open-source project, š¢š§š šžš¬š­-ššš§š²š­š”š¢š§š  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!šŸš€ How? It's pretty simple! šŸ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown) šŸ“‘ The PDF text is extracted using LlamaIndex readers šŸ¦› The text is chunked exploiting Chonkie šŸ§® The chunks are embedded thanks to Sentence Transformers models šŸ—„ļø The embeddings are loaded into a Qdrant vector database And you're done!āœ… Curious of trying it? Install it by running: š˜±š˜Ŗš˜± š˜Ŗš˜Æš˜“š˜µš˜¢š˜­š˜­ š˜Ŗš˜Æš˜Øš˜¦š˜“š˜µ-š˜¢š˜Æš˜ŗš˜µš˜©š˜Ŗš˜Æš˜Ø And you can start using it in your python scripts!šŸ Don't forget to star it on GitHub and let me know if you have any feedback! āž”ļø https://github.com/AstraBert/ingest-anything
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