Updated databricks docs (#3336)

This commit is contained in:
Parshva Daftari
2025-08-18 13:24:32 -05:00
committed by GitHub
parent 3a1eff425b
commit 49ad64708b
6 changed files with 107 additions and 18 deletions
+23 -11
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@@ -7,21 +7,33 @@ mode: "wide"
<Tabs>
<Tab title="Python">
<Update label="2025-07-24" description="v0.1.116">
**New Features:**
- **Databricks Vector Search:** Added comprehensive support for Databricks Vector Search as a vector store provider
- Delta Sync Index integration with automatic synchronization from Delta tables
- Dual authentication support (Service Principal and Personal Access Token)
- Both STANDARD and STORAGE_OPTIMIZED endpoint types supported
- Self-managed and Databricks-computed embedding options
- Auto-creation of endpoints and indexes when not present
- Unity Catalog integration for secure data governance
- **Pinecone:** Added namespace support and improved type safety
- **Milvus:** Added db_name field to MilvusDBConfig
- **Vector Stores:** Added multi-id filters support
- **Vercel AI SDK:** Migration to AI SDK V5.0
- **Python Support:** Added Python 3.12 support
- **Graph Memory:** Added sanitizer methods for nodes and relationships
- **LLM Monitoring:** Added monitoring callback support
**Improvements:**
- **Documentation:**
- Added detailed Databricks Vector Search configuration guide with authentication methods
- Updated vector databases overview to include Databricks option
- Enhanced vector store documentation with embedding configuration examples
- **Performance:** Improved async handling in AsyncMemory class
- **Documentation:** Added async add announcement, personalized search docs, Neptune examples, V5 migration docs
- **Configuration:** Refactored base class config for LLMs, added sslmode for pgvector
- **Dependencies:** Updated psycopg to version 3, updated Docker compose
**Bug Fixes:**
- **Tests:** Fixed failing tests and restricted package versions
- **Memgraph:** Fixed async attribute errors, n_embeddings usage, and indexing issues
- **Vector Stores:** Fixed Qdrant cloud indexing, Neo4j Cypher syntax, and LLM parameters
- **Graph Store:** Fixed LM config prioritization
- **Dependencies:** Fixed JSON import for psycopg
**Refactoring:**
- **Google AI:** Refactored from Gemini to Google AI
- **Base Classes:** Refactored LLM base class configuration
</Update>