Search Results for "query" - Page 8
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Showing 191 open source projects for "query"
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
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Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).
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COLDIC is an integrated lexicographic platform for creation and management of electronic lexica. Generates itself automatically from a DTD with the database schema and provides human interfaces (query and insert tools) and machine interfaces(webservices)
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JLog is a Prolog interpreter written in Java. It is fast and perfectly suited for education. It includes source editor, query panels, online help, animation primitives, and a GUI debugger. JScriptLog is Prolog in JavaScript.
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NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.
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Program W is an AIML interpreter written in Java.It extends Program D technology with new AIML tags that allow chatbots to query the WordNet lexical dictionary.Chatbots can use information about lexical terms and evaluate existing relations between words
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The Nokia Semantic Web Server is an RDF based knowledge portal for publishing both authoritative and third party descriptions of URI denoted resources. It also serves as Nokia's reference implementation of URIQA, the URI Query Agent model.
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A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.
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Implemented in Flora-2/XSB, F-OWL is an inference engine for the standard Web Ontology Language OWL. A set of Java API is provided for applications to assert and query OWL ontology statements.
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WhoisBot
Very Simple Java Telegram Bot to query WhoIs Servers for different domains
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Kolibri-1
Efficient bilingual MoE model for reasoning, coding, RAG, and agents
...Its 50-layer architecture uses 384 experts per layer, with six routed experts and one shared expert active during processing, alongside a 4:1 combination of sliding-window and grouped-query attention. Kolibri supports explicit reasoning with configurable low, medium, and high effort levels, as well as structured tool calling for agentic workflows. Its native 262K-token context can scale to a validated 1M tokens, enabling long-document processing, RAG, research, and extended coding tasks. The model was pretrained on 20T bilingual and code tokens, followed by additional mid-training and long-context training. ... -
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Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.
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bge-small-en-v1.5
Compact English sentence embedding model for semantic search tasks
...Designed for dense retrieval, semantic search, and similarity tasks, it produces 384-dimensional embeddings that can be used to compare and rank sentences or passages. This version (v1.5) improves similarity distribution, enhancing performance without the need for special query instructions. The model is optimized for speed and efficiency, making it suitable for resource-constrained environments. It is compatible with popular libraries such as FlagEmbedding, Sentence-Transformers, and Hugging Face Transformers. The model achieves competitive results on the MTEB benchmark, especially in retrieval and classification tasks. ... -
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Qwen2-7B-Instruct
Instruction-tuned 7B language model for chat and complex tasks
Qwen2-7B-Instruct is a 7.62-billion-parameter instruction-tuned language model from the Qwen2 series developed by Alibaba's Qwen team. Built on a transformer architecture with SwiGLU activation and group query attention, it is optimized for chat, reasoning, coding, multilingual tasks, and extended context understanding up to 131,072 tokens. The model was pretrained on a large-scale dataset and aligned via supervised fine-tuning and direct preference optimization. It shows strong performance across benchmarks such as MMLU, MT-Bench, GSM8K, and Humaneval, often surpassing similarly sized open-source models. ... -
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Llama-3.2-1B
Llama 3.2–1B: Multilingual, instruction-tuned model for mobile AI
...Llama 3.2-1B outperforms other open models in several benchmarks relative to its size and offers quantized versions for efficiency. It uses a refined transformer architecture with Grouped-Query Attention (GQA) and supports long context windows of up to 128k tokens. -
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DeepSeek-V3.1-Terminus
685B model with improved agents and consistency
...It improves language consistency, reducing mixed Chinese-English outputs and eliminating abnormal characters, enhancing reliability in multilingual scenarios. The update also refines agentic capabilities, especially for the Code Agent and Search Agent, leading to better tool integration and query handling. Benchmarks show small but notable gains, such as raising MMLU-Pro from 84.8 to 85.0, GPQA-Diamond from 80.1 to 80.7, and SWE Verified from 66.0 to 68.4, along with significant improvements in agent benchmarks like BrowseComp (30.0 → 38.5) and Terminal-bench (31.3 → 36.7). The model structure remains the same as DeepSeek-V3, ensuring compatibility with existing deployment methods, with updated inference demos provided for community use.
