Examples
Here you can find a wide variety of examples that demonstrate how to use the Vespa Python API. These examples cover different use cases and functionalities, providing a practical understanding of how to interact with Vespa using Python.
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- BGE-M3 - The Mother of all embedding models
- Billion-scale vector search with Cohere binary embeddings in Vespa
- Building cost-efficient retrieval-augmented personal AI assistants
- Chat with your pdfs with ColBERT, langchain, and Vespa
- ColPali Ranking Experiments on DocVQA
- Exploring the potential of OpenAI Matryoshka 🪆 embeddings with Vespa
- Feeding to Vespa Cloud
- Multilingual Hybrid Search with Cohere binary embeddings and Vespa
- PDF-Retrieval using ColQWen2 (ColPali) with Vespa
- RAG Blueprint tutorial
- Scaling ColPALI (VLM) Retrieval
- Standalone ColBERT + Vespa for long-context ranking
- Standalone ColBERT with Vespa for end-to-end retrieval and ranking
- Turbocharge RAG with LangChain and Vespa Streaming Mode for Partitioned Data
- Using Cohere Binary Embeddings in Vespa
- Using Mixedbread.ai embedding model with support for binary vectors
- Vespa 🤝 ColPali: Efficient Document Retrieval with Vision Language Models
- Video Search and Retrieval with Vespa and TwelveLabs
- Visual PDF RAG with Vespa - ColPali demo application