PXSearch · Intelligent Search Engine

A search engine you can use right away: Search

PolarDB-X Search is a standalone, OpenSearch 3.0-compatible search engine. Inverted indexes, vector kNN, BM25 hybrid ranking and Dashboards are all ready — one claim gets you a public REST endpoint and a dedicated account.

Standard OpenSearch REST API — any HTTP client connects directly, no SDK required
Chinese analyzers, vector kNN and hybrid search out of the box, a natural fit for RAG
Dedicated cluster per claim: public endpoint + private account + IP whitelist, destroyed on release

How this differs from the Vector section on the home page: there you query vector columns with SQL inside PolarDB-X, which suits existing business tables; here you get a standalone search engine, which suits full-text-first workloads that need BM25 and vector scores blended together.

Read https://zero.polardbx.com/pxsearch/SKILL.md and follow the instructions to claim a PXSearch cluster.

PXSearch Cluster

Beta

Claim a dedicated OpenSearch-compatible cluster from the warm pool

Search in 4 steps

Create an index, bulk load, run full-text search, then vector and hybrid search — all with plain curl.

1. Create index

export PXS_URL='http://pxs-xxxxxxxx-pub.polarxsearch.rds.aliyuncs.com:9200'
export PXS_AUTH='<USERNAME>:<PASSWORD>'

# 连通性自检：返回集群名与版本即为地址和账号可用
curl -sS -u "$PXS_AUTH" "$PXS_URL"

# 建索引：开 kNN + 中文分词 + 4 维向量字段
# 集群至少 2 个数据节点，replicas=1 有地方放，health 能到 green
curl -sS -u "$PXS_AUTH" -XPUT "$PXS_URL/docs" \
  -H 'Content-Type: application/json' -d '{
  "settings": { "index": { "knn": true, "number_of_shards": 1, "number_of_replicas": 1 } },
  "mappings": { "properties": {
    "title":   { "type": "text", "analyzer": "ik_max_word" },
    "content": { "type": "text", "analyzer": "ik_max_word" },
    "embedding": {
      "type": "knn_vector", "dimension": 4,
      "method": { "name": "hnsw", "engine": "faiss", "space_type": "l2" }
    }
  } }
}'

The commands use placeholder values. Claim a cluster above and the real endpoint and credentials will be filled in automatically.

What you get

A complete search engine, with full-text and vectors in the same index.

🔍

Full-text Search

Full-text

Inverted indexes and analyzers

ik_max_word / ik_smart Chinese analyzers
BM25 relevance scoring with custom boosts
Highlighting, aggregations, sorting, pagination
Synonyms, stopwords and custom dictionaries

🧭

Vector Search

Vector kNN

Native knn_vector field type

HNSW graph index on faiss / nmslib
l2 / cosine / inner-product distances
Filtered kNN queries supported
Vectors stored beside structured fields

🤖

Hybrid & AI

Hybrid & RAG

Blend both recall paths in one query

Weighted fusion of BM25 and vector scores
Drop-in retrieval layer for RAG
Standard REST — works with LangChain and friends
Official search Skill built in for Agents

📊

Dashboards & Ops

Dashboards

Web console included

Dev Tools console for ad-hoc queries
Discover for browsing docs and fields
Visualize for charts and dashboards
IP whitelist on the public endpoint

Cluster lifecycle

Claim, index, search — the platform reclaims everything at expiry.

🎫

Claim

Take a prewarmed dedicated cluster from the pool; the public REST endpoint, account credentials and Dashboards URL are issued to you.

🗂️

Index

Create an index with curl: attach an analyzer to text fields and declare knn_vector for vectors. Note that knn can only be enabled at index creation time.

🔍

Search

Use full-text, vector or hybrid queries — or open Dashboards for interactive exploration.

♻️

Destroy

Release manually or let the TTL expire — the whole cluster is destroyed and never reused.

Note: TTL expiry is a hard delete, not a shutdown. The cluster, its indices and all data are destroyed and cannot be recovered — never keep this as the only copy of data you care about.

PolarDB-X Zero