🔥 Trending Repository: haystack

📝 Description: 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.

🔗 Repository URL: https://github.com/deepset-ai/haystack

🌐 Website: https://haystack.deepset.ai

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

📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 158
🍴 Forks: 2.3K forks

💻 Programming Languages: Python - HTML

🏷️ Related Topics:

#python #nlp #agent #machine_learning #information_retrieval #ai #transformers #orchestration #pytorch #gemini #question_answering #summarization #agents #semantic_search #rag #gpt_4 #large_language_models #llm #generative_ai #retrieval_augmented_generation

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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