llmware-ai/llmware
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Language:Python
Total stars: 761
Stars trend:
#python
#ai, #bert, #embeddingvectors, #embeddings, #faiss, #generativeai, #informationretrieval, #largelanguagemodels, #machinelearning, #milvus, #nlp, #parsing, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #transformers
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Language:Python
Total stars: 761
Stars trend:
11 Dec 2023
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#python
#ai, #bert, #embeddingvectors, #embeddings, #faiss, #generativeai, #informationretrieval, #largelanguagemodels, #machinelearning, #milvus, #nlp, #parsing, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #transformers
ashvardanian/SimSIMD
Vector Similarity Functions 3x-200x Faster than SciPy and NumPy — for Python, JavaScript, and C 11, supporting f64, f32, f16, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Language:C
Total stars: 397
Stars trend:
#c
#arm, #armneon, #armsve, #assembly, #avx2, #avx512, #distancecalculation, #distancemeasures, #informationretrieval, #metrics, #neon, #numpy, #python, #scipy, #simd, #simdinstructions, #similaritymeasures, #similaritysearch, #vectorsearch
Vector Similarity Functions 3x-200x Faster than SciPy and NumPy — for Python, JavaScript, and C 11, supporting f64, f32, f16, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Language:C
Total stars: 397
Stars trend:
23 Jan 2024
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24 Jan 2024
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#c
#arm, #armneon, #armsve, #assembly, #avx2, #avx512, #distancecalculation, #distancemeasures, #informationretrieval, #metrics, #neon, #numpy, #python, #scipy, #simd, #simdinstructions, #similaritymeasures, #similaritysearch, #vectorsearch
ashvardanian/StringZilla
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, etc 🦖
Language:C++
Total stars: 1230
Stars trend:
#cplusplus
#beautifulsoup, #commoncrawl, #csv, #dataset, #html, #informationretrieval, #json, #laion, #ndjson, #parser, #patternrecognition, #simd, #sortingalgorithms, #string, #stringmanipulation, #stringmatching, #stringparsing, #stringsearch, #substring
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, etc 🦖
Language:C++
Total stars: 1230
Stars trend:
24 Feb 2024
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#cplusplus
#beautifulsoup, #commoncrawl, #csv, #dataset, #html, #informationretrieval, #json, #laion, #ndjson, #parser, #patternrecognition, #simd, #sortingalgorithms, #string, #stringmanipulation, #stringmatching, #stringparsing, #stringsearch, #substring
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Language:Python
Total stars: 87
Stars trend:
#python
#datapipelines, #deeplearning, #documentparser, #documentunderstanding, #informationretrieval, #llm, #llmops, #machinelearning, #nlp, #ocr, #orchestration, #pdftotext, #preprocessing, #rag, #retrievalaugmentedgeneration, #tablestructurerecognition
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Language:Python
Total stars: 87
Stars trend:
1 Apr 2024
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#python
#datapipelines, #deeplearning, #documentparser, #documentunderstanding, #informationretrieval, #llm, #llmops, #machinelearning, #nlp, #ocr, #orchestration, #pdftotext, #preprocessing, #rag, #retrievalaugmentedgeneration, #tablestructurerecognition
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Language:HTML
Total stars: 6025
Stars trend:
#html
#datapipelines, #deeplearning, #documentimageanalysis, #documentimageprocessing, #documentparser, #documentparsing, #docx, #donut, #informationretrieval, #langchain, #llm, #machinelearning, #ml, #naturallanguageprocessing, #nlp, #ocr, #pdf, #pdftojson, #pdftotext, #preprocessing
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Language:HTML
Total stars: 6025
Stars trend:
17 Apr 2024
5pm ▎ +2
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#html
#datapipelines, #deeplearning, #documentimageanalysis, #documentimageprocessing, #documentparser, #documentparsing, #docx, #donut, #informationretrieval, #langchain, #llm, #machinelearning, #ml, #naturallanguageprocessing, #nlp, #ocr, #pdf, #pdftojson, #pdftotext, #preprocessing
neuml/txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Language:Python
Total stars: 7704
Stars trend:
#python
#embeddings, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #neuralsearch, #nlp, #python, #rag, #retrievalaugmentedgeneration, #search, #searchengine, #semanticsearch, #sentenceembeddings, #transformers, #txtai, #vectordatabase, #vectorsearch, #vectorsearchengine
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Language:Python
Total stars: 7704
Stars trend:
21 Jul 2024
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22 Jul 2024
12am ██▍ +19
#python
#embeddings, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #neuralsearch, #nlp, #python, #rag, #retrievalaugmentedgeneration, #search, #searchengine, #semanticsearch, #sentenceembeddings, #transformers, #txtai, #vectordatabase, #vectorsearch, #vectorsearchengine
deepset-ai/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.
Language:Python
Total stars: 15911
Stars trend:
#python
#ai, #bert, #chatgpt, #generativeai, #gpt3, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #nlp, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #squad, #summarization, #transformers
: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.
Language:Python
Total stars: 15911
Stars trend:
27 Aug 2024
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#python
#ai, #bert, #chatgpt, #generativeai, #gpt3, #informationretrieval, #languagemodel, #largelanguagemodels, #llm, #machinelearning, #nlp, #python, #pytorch, #questionanswering, #rag, #retrievalaugmentedgeneration, #semanticsearch, #squad, #summarization, #transformers
onyx-dot-app/onyx
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Language:Python
Total stars: 12012
Stars trend:
#python
#aichat, #chatgpt, #enterprisesearch, #genai, #informationretrieval, #nextjs, #python, #rag
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Language:Python
Total stars: 12012
Stars trend:
4 Mar 2025
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#python
#aichat, #chatgpt, #enterprisesearch, #genai, #informationretrieval, #nextjs, #python, #rag