pydoxtools
tika-python
pydoxtools | tika-python | |
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2 | 4 | |
56 | 1,427 | |
- | - | |
9.5 | 1.8 | |
3 months ago | about 1 month ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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pydoxtools
- What is the most cost-efficient way to have an embedding generator endpoint that is using an open-source embedding model? [D]
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File acquisition to S3
Also, I saw this repo in a r/python post yesterday https://github.com/Xyntopia/pydoxtools
tika-python
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Document Parsing - an unsolved problem?
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
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Extract text from PDF
Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
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Extract text from documents
The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.
What are some alternatives?
RankGPT - Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
AutoLearn-GPT - ChatGPT learns automatically.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
pandora - Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
gensim - Topic Modelling for Humans
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers