As many developers have come to realize, “Just use Postgres” is generally a good strategy. If and when your needs grow, you might want to swap in a larger and more performant vector database. Until then, Postgres will do the job and allow us to build our application quickly. Reviewing...
通过这样的集成,您可以方便地完成第一阶段领域知识库的数据准备,并充分利用PGVector提供的向量索引和相似度搜索功能,实现高效的文本匹配和查询操作。 1.连接PolarDB PostgreSQL版集群。 2.创建测试数据库,以testdb为例。 CREATE DATABASE testdb; 3.进入测试数据库,并创建PGvector插件。 CREATE EXTENSION IF NOT ...
create or replace function match_chunks(chunck_embedding vector(1536), threshold float, count int, min_length int) returns table (id bigint, content text, similarity float) language plpgsql as $$ begin return query select doc_chunks.id, doc_chunks.content, (doc_chunks.embedding <#> chunck_e...
LLMとVector Databaseの連携設定qa=RetrievalQA.from_chain_type(llm,chain_type="
通过这样的集成,您可以方便地完成第一阶段领域知识库的数据准备,并充分利用PGVector提供的向量索引和相似度搜索功能,实现高效的文本匹配和查询操作。 1. 连接PolarDB | PostgreSQL 。 2. 创建测试数据库,以testdb为例。 CREATE DATABASE testdb; 3. 进入测试数据库,并创建PGvector插件。 CREATE EXTENSION IF NOT ...
为此,我们需要借助向量相似性检索技术,实现基于LLM的文本检索。 PostgreSQL是一款强大的开源关系型数据库,支持丰富的扩展插件。其中,pgvector插件提供了向量相似性检索功能,可以与LLM结合,实现高效的文本检索。本文将以RAG(Retrieve-Augment-Generate)模式为例,介绍如何在PostgreSQL中使用pgvector插件实现基于LLM的向量相似性...
CREATEDATABASE testdb; 进入测试数据库,并创建 pgvector 插件。 CREATEEXTENSION IFNOTEXISTSvector; 创建测试表(本文以rds_pg_help_docs为例),用于存储知识库内容。 CREATETABLErds_pg_help_docs ( id bigserialPRIMARYKEY, title text,-- 文档标题description text,-- 描述doc_chunk text,-- 文档分块token_...
CREATE DATABASE testdb; 3.进入测试数据库,并创建PGvector插件。 CREATE EXTENSION IF NOT EXISTS vector; 4.创建测试表(本文以polardb_pg_help_docs为例),用于存储知识库内容。 CREATE TABLE polardb_pg_help_docs ( id bigserial PRIMARY KEY, title text, -- 文档标题 ...
What are the main benefits you receive from using pgvector and PostgreSQL for AI/ LLM workloads? Of those who responded yes to having used pgvector and PostgreSQL as your vector database for AI/ LLM workloads, a little over one-third (37.7%) said the main benefit is the ability to keep...
Pinecone was formerly known as HyperCube. It was founded in 2019 and is based in New York, New York. L LanceDB LanceDB operates as a serverless vector database for artificial intelligence (AI) applications. The company builds applications for generative artificial intelligence (AI), recsys, ...