🔥 Trending Repository: llm-app

📝 Description: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

🔗 Repository URL: https://github.com/pathwaycom/llm-app

🌐 Website: https://pathway.com/developers/templates/

📖 Readme: https://github.com/pathwaycom/llm-app#readme

📊 Statistics:
🌟 Stars: 35.3K stars
👀 Watchers: 62
🍴 Forks: 943 forks

💻 Programming Languages: Jupyter Notebook

🏷️ Related Topics:

#machine_learning #real_time #chatbot #pathway #open_ai #rag #vector_database #hugging_face #llm #llmops #vector_index #llm_prompting #llm_security #llm_local #retrieval_augmented_generation

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🔥 Trending Repository: genkit

📝 Description: An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

🔗 Repository URL: https://github.com/firebase/genkit

🌐 Website: https://genkit.dev

📖 Readme: https://github.com/firebase/genkit#readme

📊 Statistics:
🌟 Stars: 3K stars
👀 Watchers: 54
🍴 Forks: 383 forks

💻 Programming Languages: TypeScript - Go - Python - Shell - JavaScript - CSS

🏷️ Related Topics:

#ai #agents #multimodal #rag #vector_database #embedders #llm #genkit

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: milvus

📝 Description: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

🔗 Repository URL: https://github.com/milvus-io/milvus

🌐 Website: https://milvus.io

📖 Readme: https://github.com/milvus-io/milvus#readme

📊 Statistics:
🌟 Stars: 37.1K stars
👀 Watchers: 313
🍴 Forks: 3.4K forks

💻 Programming Languages: Go - Python - C++ - Shell - Groovy - C

🏷️ Related Topics:

#golang #distributed #nearest_neighbor_search #cloud_native #image_search #vector_similarity #faiss #anns #rag #hnsw #vector_search #vector_database #llm #embedding_database #embedding_store #vector_store #embedding_similarity #diskann

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: memvid

📝 Description: Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.

🔗 Repository URL: https://github.com/Olow304/memvid

🌐 Website: https://www.memvid.com

📖 Readme: https://github.com/Olow304/memvid#readme

📊 Statistics:
🌟 Stars: 8.7K stars
👀 Watchers: 61
🍴 Forks: 741 forks

💻 Programming Languages: Python - Makefile - Shell - Dockerfile

🏷️ Related Topics:

#python #nlp #opencv #machine_learning #embedded #ai #offline_first #memory #context #knowledge_graph #video_processing #knowledge_base #semantic_search #faiss #rag #vector_database #llm #retrieval_augmented_generation

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: airweave

📝 Description: Airweave lets agents search any app

🔗 Repository URL: https://github.com/airweave-ai/airweave

🌐 Website: https://airweave.ai

📖 Readme: https://github.com/airweave-ai/airweave#readme

📊 Statistics:
🌟 Stars: 3.4K stars
👀 Watchers: 18
🍴 Forks: 422 forks

💻 Programming Languages: Python - TypeScript - MDX - Shell - CSS - JavaScript

🏷️ Related Topics:

#search #knowledge_graph #agents #rag #vector_database #llm #search_agent #llm_agent

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: MineContext

📝 Description: MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

🔗 Repository URL: https://github.com/volcengine/MineContext

📖 Readme: https://github.com/volcengine/MineContext#readme

📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 12
🍴 Forks: 72 forks

💻 Programming Languages: Python - HTML - JavaScript - CSS

🏷️ Related Topics:

#electron #react #python #agent #memory #python3 #embedding_models #rag #vector_database #vision_language_model #proactive_ai #context_engineering

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: WeKnora

📝 Description: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

🔗 Repository URL: https://github.com/Tencent/WeKnora

🌐 Website: https://weknora.weixin.qq.com

📖 Readme: https://github.com/Tencent/WeKnora#readme

📊 Statistics:
🌟 Stars: 6.8K stars
👀 Watchers: 43
🍴 Forks: 778 forks

💻 Programming Languages: Go - Vue - Python - TypeScript - Shell - Less

🏷️ Related Topics:

#agent #golang #multi_tenant #ai #chatbot #evaluation #embeddings #openai #question_answering #chatbots #knowledge_base #semantic_search #reranking #multimodel #rag #vector_search #llm #generative_ai #agentic #ollama

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: LEANN

📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

🔗 Repository URL: https://github.com/yichuan-w/LEANN

📖 Readme: https://github.com/yichuan-w/LEANN#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 34
🍴 Forks: 403 forks

💻 Programming Languages: Python

🏷️ Related Topics:

#python #privacy #ai #offline_first #localstorage #vectors #faiss #rag #vector_search #vector_database #llm #langchain #llama_index #retrieval_augmented_generation #ollama #gpt_oss

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: Resume-Matcher

📝 Description: Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

🔗 Repository URL: https://github.com/srbhr/Resume-Matcher

🌐 Website: https://resumematcher.fyi/

📖 Readme: https://github.com/srbhr/Resume-Matcher#readme

📊 Statistics:
🌟 Stars: 24.1K stars
👀 Watchers: 85
🍴 Forks: 4.5K forks

💻 Programming Languages: Python - TypeScript - PowerShell - Shell - CSS - JavaScript - Makefile

🏷️ Related Topics:

#python #resume #machine_learning #natural_language_processing #typescript #nextjs #text_similarity #word_embeddings #ats #resume_parser #hacktoberfest #resume_builder #applicant_tracking_system #vector_search

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: memvid

📝 Description: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

🔗 Repository URL: https://github.com/memvid/memvid

🌐 Website: https://www.memvid.com

📖 Readme: https://github.com/memvid/memvid#readme

📊 Statistics:
🌟 Stars: 11.2K stars
👀 Watchers: 86
🍴 Forks: 942 forks

💻 Programming Languages: Rust

🏷️ Related Topics:

#python #nlp #opencv #machine_learning #embedded #ai #offline_first #memory #context #knowledge_graph #video_processing #knowledge_base #semantic_search #faiss #rag #vector_database #llm #mv2 #retrieval_augmented_generation #memvid

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: cognee

📝 Description: Memory for AI Agents in 6 lines of code

🔗 Repository URL: https://github.com/topoteretes/cognee

🌐 Website: https://www.cognee.ai

📖 Readme: https://github.com/topoteretes/cognee#readme

📊 Statistics:
🌟 Stars: 11.7K stars
👀 Watchers: 59
🍴 Forks: 1.2K forks

💻 Programming Languages: Python - TypeScript - Shell - Dockerfile - CSS - Mako

🏷️ Related Topics:

#open_source #ai #knowledge #neo4j #knowledge_graph #openai #help_wanted #graph_database #ai_agents #contributions_welcome #cognitive_architecture #good_first_issue #rag #good_first_pr #vector_database #graph_rag #ai_memory #cognitive_memory #graphrag #context_engineering

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🔥 Trending Repository: zvec

📝 Description: A lightweight, lightning-fast, in-process vector database

🔗 Repository URL: https://github.com/alibaba/zvec

🌐 Website: https://zvec.org/en/

📖 Readme: https://github.com/alibaba/zvec#readme

📊 Statistics:
🌟 Stars: 967 stars
👀 Watchers: 4
🍴 Forks: 56 forks

💻 Programming Languages: C++ - SWIG - Python - C - CMake - ANTLR

🏷️ Related Topics:

#embedded_database #rag #vector_search #ann_search #vectordb

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🔥 Trending Repository: ruvector

📝 Description: RuVector is a high performance vector and graph database built in Rust for AI, agentic systems, and real time analytics. It combines HNSW search, dynamic minimum cut coherence, graph intelligence, and self learning memory into one unified engine for scalable, low latency reasoning and structured retrieval.

🔗 Repository URL: https://github.com/ruvnet/ruvector

🌐 Website: https://ruv.io

📖 Readme: https://github.com/ruvnet/ruvector#readme

📊 Statistics:
🌟 Stars: 498 stars
👀 Watchers: 14
🍴 Forks: 115 forks

💻 Programming Languages: Rust - TypeScript - JavaScript - Shell - Metal - PLpgSQL

🏷️ Related Topics:

#rust #ocr #ai #neo4j #graph #vector #mincut #wasm #low_latency #attention_mechanism #onnx #gnns #graph_neural_networks #gnn #gnn_model #llm_inference #ai_ocr

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🧠 By: https://t.iss.one/DataScienceM