Attu v3.0.0

Attu 3.0

Attu 3.0 delivers a richer visual experience for Milvus 3.0, with support for lakehouse data access, online schema evolution, long-text fields, advanced search analytics, reranking, and document deduplication.

Learn more about Milvus 3.0.

Highlights

External Collections and Snapshots

Explore Parquet and Iceberg data directly from your data lake without copying it into Milvus. Attu supports creating External Collections, mapping fields, refreshing source data, tracking refresh progress, and querying external data.

Snapshot management now includes browsing, restoring, and monitoring Collection restore tasks with clearer progress and error reporting.

Text Fields and Online Schema Evolution

Attu supports Milvus 3.0 TEXT fields across Collection creation, Schema, Query, Search, BM25, and analyzer workflows.

You can also evolve Collection schemas directly in Attu:

• Add or delete fields when supported
• Edit Collection and field descriptions
• Create and inspect Function Fields
• Manage schema actions based on the connected Milvus version

Attu automatically checks Storage V3 requirements and provides configuration guidance when needed.

Search and Analytics

Query and Search now provide more powerful analytics:

• COUNT, SUM, AVG, MIN, and MAX
• Multi-field grouping and ordering
• Bucket-based vector search aggregation
• Paginated Query and Search results
• Interactive table sorting
• Improved filter expression suggestions

Function Score reranking lets you combine vector similarity with scalar signals such as freshness, popularity, or quality.

Learn more about Search Aggregation.

MinHash Document Deduplication

Create MinHash Function Fields and compatible MINHASH_LSH indexes directly in Attu. You can search using raw text to identify near-duplicate documents for deduplication, clustering, and similarity analysis.

Learn more about MinHash.

Analyzers and File Resources

The new File Resources page provides centralized management for analyzer resources such as custom dictionaries, stop-word lists, synonym lists, and tokenizer files. Registered resources can be reused across multiple Collections.

Collection and Data Management

Attu 3.0 also adds:

• Partition-level load and release
• Entity-level TTL configuration
• Database and Collection property editing
• Safer deletion and truncation workflows
• Version-aware index options
• Complete Collection export
• More reliable large-file imports with chunked uploads

Compatibility

• Supports Zilliz Cloud, Milvus 2.6.0+, and Milvus 3.x.
• External Collections, Snapshots, Text fields, MinHash, entity-level TTL, and some schema operations require Milvus 3.x.
• Text fields and External Collections require Storage V3. If it is disabled, set common.storage.useLoonFFI=true and restart Milvus.
• External Collection data remains read-only in Attu. Insert, Upsert, Delete, Import, and Truncate operations are unavailable.

For detailed documentation, visit the Milvus documentation.