💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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Updated
May 20, 2024 - Python
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Simple GUI with some python scripts I use to convert folders to single txt output for AI data dumping
JavaScript client for txtai
SummarizerV2.0 is a Flask app for text summarization. It condenses information from plain text, PDFs, and YouTube videos using txtai and PyPDF2. Users can input text or upload documents, obtaining concise summaries—a versatile tool for efficient information processin
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
💭 Retrieval augmented generation (RAG) and language model powered search applications
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
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
📄 🤖 Semantic search and workflows for medical/scientific papers
[WIP]: ✨ Modern, AI-powered semantic search framework powered by txtai. [DEPRECATED - no longer maintained. Please consider using an alternative such as ChromaDB as txtai instead.]
Utilizing OpenAI's GPT-4 and txtai embeddings, this script generates personalized life consultation reports from a brief user input and dataset analysis.
Semantic search app using streamlit and txtai.
🔎 Semantic search for developers
📊 Semantic search for headlines and story text
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