amdjedbens/Semantic-search-VectorDB

A semantic search application built using FastAPI, Pinecone, and Sentence Transformers to match questions from Quora dataset.

20
/ 100
Experimental

This application helps you find relevant answers by matching your questions against a large database of existing questions. You type in a question or statement, and it intelligently sifts through a collection of Quora questions to show you the most similar ones. It's designed for anyone looking for quick, contextually similar information from a question-and-answer archive.

No commits in the last 6 months.

Use this if you need to quickly find similar questions or content from a large text repository based on the meaning of your query, rather than just keywords.

Not ideal if you need to analyze structured data, perform complex statistical analysis, or retrieve exact keyword matches from a traditional database.

information-retrieval question-answering content-discovery knowledge-base-search
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 02, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/amdjedbens/Semantic-search-VectorDB"

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