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information-retrieval
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- Wikipedia
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
AI 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.
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.
Topic Modelling for Humans
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Retrieval and Retrieval-augmented LLMs
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Apache Lucene and Solr open-source search software
Fetches system/theme information in terminal for Linux desktop screenshots.
AdalFlow: The library to build & auto-optimize LLM applications.
Harness LLMs with Multi-Agent Programming
Accelerated deep learning R&D
Apache Lucene open-source search software
MTEB: Massive Text Embedding Benchmark
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Learning to Rank in TensorFlow
Deep neural network to extract intelligent information from invoice documents.