Topic Modelling for Humans
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Updated
Nov 1, 2025 - Python
Topic Modelling for Humans
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Retrieval and Retrieval-augmented LLMs
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
telegram group scraper tool. fetch all information about group members
MTEB: Massive Text Embedding Benchmark
Learning to Rank in TensorFlow
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Deep neural network to extract intelligent information from invoice documents.
Accelerated deep learning R&D
AdalFlow: The library to build & auto-optimize LLM applications.
Harness LLMs with Multi-Agent Programming
Python Keyphrase Extraction module
Information Gathering Instagram.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Add a description, image, and links to the information-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the information-retrieval topic, visit your repo's landing page and select "manage topics."