jina-ai/examples
A collection of example projects demonstrating neural semantic search and embedding-based retrieval using Jina's framework with transformers and PyTorch.
Not currently ranked — collecting fresh signals.
star history
This repository provides sample code and tutorials for building neural search applications with Jina. Examples include semantic text search using DistilBERT and transformers, audio-to-audio similarity search, and multi-modal retrieval pipelines. The demos walk through indexing documents with embeddings and performing vector-based queries for semantic search use cases.
Frequently asked
- What is jina-ai/examples?
- A collection of example projects demonstrating neural semantic search and embedding-based retrieval using Jina's framework with transformers and PyTorch.
- Is examples open source?
- Yes — jina-ai/examples is open source, released under the Apache-2.0 license.
- What language is examples written in?
- jina-ai/examples is primarily written in Python.
- How popular is examples?
- jina-ai/examples has 461 stars on GitHub.
- Where can I find examples?
- jina-ai/examples is on GitHub at https://github.com/jina-ai/examples.