💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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Updated
Jul 15, 2024 - Python
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
📄 🤖 Semantic search and workflows for medical/scientific papers
🔎 Semantic search for developers
📊 Semantic search for headlines and story text
💭 Retrieval augmented generation (RAG) and language model powered search applications
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
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
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
An implementation of a reverse dictionary using txtai.
Semantic search app using streamlit and txtai.
Utilizing OpenAI's GPT-4 and txtai embeddings, this script generates personalized life consultation reports from a brief user input and dataset analysis.
[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 [DEPRECATED - no longer maintained.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.]
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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