💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
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Updated
Jun 12, 2025 - Python
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💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
📄 🤖 Semantic search and workflows for medical/scientific papers
🔎 Semantic search for developers
🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.
📊 Semantic search for headlines and story text
💭 Build autonomous agents, retrieval augmented generation (RAG) processes and language model powered chat applications
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
📚 Build knowledge bases for RAG
MLflow automatic tracing for txtai
An integration of the weaviate vector search engine with txtai
Simple GUI with some python scripts I use to convert folders to single txt output for AI data dumping
An implementation of a reverse dictionary using txtai.
Semantic search app using streamlit and txtai.
Summarizer is a versatile web application designed for creating summaries from various formats, including PDF documents, research papers, and YouTube videos using streamlit. Whether the content is in Marathi, Hindi, or English, Summarizer intelligently processes the information to generate concise and meaningful
Utilizing OpenAI's GPT-4 and txtai embeddings, this script generates personalized life consultation reports from a brief user input and dataset analysis.
Summarizer is a versatile web application designed for creating summaries from various formats, including PDF documents, research papers, and YouTube videos using streamlit. Whether the content is in Marathi, Hindi, or English, Summarizer intelligently processes the information to generate concise and meaningful
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