RAG assisted document similarity search
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Updated
Jun 24, 2025 - Python
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platform-docker
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You give it a URL. It scrapes, cleans, semantically analyzes, and embeds the page into a vector store. Users ask questions over HTTP; the agent retrieves the most relevant chunks, asks an LLM to answer strictly from those chunks, and returns the answer with a confidence flag.
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Updated
Oct 7, 2026 - Python
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