Statistics for topic information-retrieval
RepositoryStats tracks 518,325 Github repositories, of these 194 are tagged with the information-retrieval topic. The most common primary language for repositories using this topic is Python (108). Other languages include: Java (16), Jupyter Notebook (14)
Stargazers over time for topic information-retrieval
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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
: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 ...
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Financial Domain Question Answering with pre-trained BERT Language Model
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
: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 ...
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
An Extensible Framework for Retrieval-Augmented LLM Applications: Learning Relevance Beyond Simple Similarity.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"
Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
AgentSearch is a framework for powering search agents and enabling customizable local search.
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
: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 ...
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging SWAR and SIMD on Arm Neon and x86 AVX2 & AVX-512-capable chips to accelerate search, sort, edit distances, alignment scores, et...
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and...
Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"