kartik-mem0 fbb8e71224 docs(vectordbs): correct vector store config defaults and imports ...

Each fix verified against mem0/vector_stores/ source and configs:

- baidu: table_name default mem0_table → mem0 (BaiduDBConfig)
- langchain: TS import mem0ai → mem0ai/oss; fix undefined LangchainVectorStore
  variable to use MemoryVectorStore directly
- mongodb: collection_name default mem0_collection → mem0; mongo_uri default
  corrected to mongodb://localhost:27017 (MongoDBConfig)
- neon: hnsw default False → True (PGVectorConfig.hnsw = True)
- neptune_analytics: extra name vector_stores → vector-stores (pyproject.toml)
- pgvector: diskann default True → False; hnsw default False → True
  (PGVectorConfig)
- upstash-vector: move enable_embeddings inside config: {} block
  (UpstashVectorConfig field, not top-level VectorStoreConfig)
- valkey: remove non-existent distance_metric row (not in ValkeyConfig);
  fix extra name vector_stores → vector-stores
- vertex_ai: region is required (no default in GoogleMatchingEngineConfig)
- weaviate: install pip install weaviate weaviate-client → weaviate-client
  (weaviate is not a separate package)
- overview: update TS supported vector DBs list to reflect actual
  mem0-ts/src/oss/src/vector_stores/ files

2026-06-25 11:59:37 +05:30

..

embedders

refactor: update default Gemini and Vertex AI embedder model to gemini-embedding-001 (#4571)

2026-03-28 20:39:27 +05:30

llms

docs: added typescript support to deepseek provider (#5723)

2026-06-24 20:55:14 +05:30

rerankers

docs: new algorithm migration guides + memory evaluation (#4811)

2026-04-16 17:13:13 +05:30

vectordbs

docs(vectordbs): correct vector store config defaults and imports

2026-06-25 11:59:37 +05:30