def search_for_paragraphs(search_term, num_results): search_vector = convert_text_to_vector(search_term) search_vector = np.array([search_vector]).astype('float32') distances, indexes = index.search(search_vector, num_results) for i, (distance, index) in enumerate(zip(distances[0], inde...
Vector similarity search is a method used to find and retrieve items that are most similar to a given query item based on their vector representations in a high-dimensionalspace. Inthis approach,data points (such as images, text, or any other entities) are represented as numerical vectors that...
不过类似的工作还有：pgvector/pgvector: Open-source vector similarity search for Postgres (github.com...
pg_vector:https://github.com/pgvector/pgvector，实现了 IVFFlat 索引。pg_embdding:https://github...
https://github.com/Azure-Samples/azure-sql-db-openai Conclusion The provided sample isnotoptimized. For example, the square of the vectors:SUM(a.value*a.value)could be pre-calculated and stored in a table for even better efficiency and performance. The sample is purposely simple to make it...
然后,Vector DB 会使用一种相似度度量(similarity measure),来计算查询向量和存储向量之间的距离或相似度,并返回最相似或最相关的向量列表。我们就可以从这个列表中找到我们想要的数据,或者进一步缩小范围。当然,向量检索近年来的火热与大模型能力的提升是密切相关的。大模型通常能更好地理解和生成更高维度、更复杂的...
This example shows how to use Azure OpenAI from Azure SQL database to get the vector embeddings of any choosen text, and then calculate the cosine similarity against the Wikipedia articles (for which vector embeddings have been already calculated,) to find the articles that covers topics that ...
Overview of the vector similarity search functionality in Azure Cosmos DB's various vector search features.
Upon concluding this article, I trust you have gained a solid comprehension of vector stores and vector search. We've also provided a demonstration of LangChain FAISS to illustrate its functionality. I strongly encourage you to explore other vector stores such as ChromaDb, Qdrant, Milvus, and ...
随着大模型的爆火,向量数据库也越发成为开发者关注的焦点。为了方便大家更好地了解向量数据库,我们特地推出了《Hello, VectorDB》系列,本文将从宏观角度、向量数据库与其他算法库的区别、技术难点及如何选择向量数据库等方面,带大家认识真正的向量数据库。