berecat/openai-pinecone-search
Semantic search with openai's embeddings stored to pineconedb (vector database)
This tool helps you build a search engine that understands the meaning behind your text, not just keywords. You input a collection of text documents and then provide natural language queries. It returns the most relevant documents, even if they don't contain your exact search terms. It's ideal for anyone who needs to quickly find information within large bodies of unstructured text, like researchers, content managers, or customer support teams.
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Use this if you need to find text based on its meaning or context, rather than just matching keywords.
Not ideal if your search needs are simple keyword matching or if you only have a very small set of documents.
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Language
TypeScript
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Last pushed
May 31, 2023
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