duckdb为支持向量搜索,引入VSS (Vector Similarity Search (VSS) Extension) 插件扩展,VSS插件扩展引入一个新的索引类型:HNSW(Hierarchical Navigable Small Worlds),这是一种基于图的索引结构,特别适用于高维向量相似性搜索。 HNSW索引仅适用于包含FLOAT元素的ARRAY类型列,并且仅用于加速计算“距离”的查询,该查询在常量...
《向量数据库》,O网页链接,这是一篇值得阅读的长文,它介绍了向量数据库的方方面面,包括 Vector Embeddings、Similarity Search、Similarity Measurement、Filtering 等等,单纯从实现角度来看,技术复杂度并不高。短短几个月,各大数据库厂商也增加了对向量的支持,O网页链接,可以在这篇 OpenAI 写的文档里找到各自对应的代...
LLM 是指大型语言模型(Large Language Models),它们就像是一个超级作家,可以生成自然语言文本,或者理解和回答自然语言问题。但是,LLM 也有一些挑战,例如缺乏领域知识,缺乏长期记忆,缺乏事实一致性等。 为了解决这些挑战,Vector DB 就像是给 LLM 提供了一本百科全书,让 LLM 可以根据用户的查询,在 Vector DB 中检索相...
The pg_embedding extension enables the using the Hierarchical Navigable Small World (HNSW) algorithm for vector similarity search in PostgreSQL. This extension is based onivf-hnswimplementation of HNSW the code for the current state-of-the-art billion-scale nearest neighbor search system 此处以 pgvec...
不过类似的工作还有：pgvector/pgvector: Open-source vector similarity search for Postgres (github....
4.Faiss Faiss (Facebook AI Similarity Search) 是Facebook开源的一个Python的快速相似性搜索（...
defretrieval_from_tidb(db,query):docs_with_score=db.similarity_search_with_score(query,k=3)context=""fordoc,scoreindocs_with_score:context+=doc.page_content+"\n"returncontext 我们去 TiDB 中查询到相似度最高的 TOP 3信息,简单拼接后组装成上下文返回。
docs = db.similarity_search(query) print(docs[0].page_content) # similarity search by vector embedding_vector = OpenAIEmbeddings().embed_query(query) docs = db.similarity_search_by_vector(embedding_vector) print(docs[0].page_content)
documents most similar to the query text with L2 distance in float. Lower score represents more similarity.", then the result fromsimilarity_search_with_scoreshould have matched the identical textI like applewith(distance)score=0and thesimilarity_search_with_relevance_scoreswith(relevance)score=1, ...
RAG is a type of GenAI that enables organizations to guide LLMs using domain-specific, private, or recently created information. By augmenting users' original prompts with additional information identified through similarity searches, RAG enables more timely, accurate, and contextually relevant responses...