Syed007Hassan/Document-Querying-With-VectorDB
Document Querying with LLMs - Google PaLM API: Semantic Search With LLM Embeddings
This tool helps you quickly find answers within large collections of your own documents, like reports or articles, by asking questions in natural language. You input your documents and your questions, and it delivers relevant passages and direct answers. It's ideal for researchers, analysts, or anyone who needs to extract specific information from their domain-specific text.
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Use this if you need to semantically search and get answers from a large personal or organizational document library using natural language questions.
Not ideal if you are looking for a general web search engine or a tool to generate creative content.
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Python
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Last pushed
Dec 14, 2023
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Syed007Hassan/Document-Querying-With-VectorDB"
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