r0mdau/refind
Experimenting Weaviate vector database with OpenAI vectorizer module and generative search
This tool helps you organize and intelligently search through your personal document collection. You feed it full-text documents, and it allows you to ask natural language questions to retrieve relevant information directly from your stored content. This is for anyone who needs to quickly find specific answers within their own extensive archives, like researchers, legal professionals, or personal knowledge managers.
No commits in the last 6 months.
Use this if you need to build a searchable knowledge base from your own documents and get concise answers to questions based on that content.
Not ideal if you need to search documents larger than 4097 tokens without manual splitting, or if you require advanced metadata handling beyond simple full-text content.
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Go
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Last pushed
Mar 30, 2024
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/r0mdau/refind"
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