Comparing 7e7682a06d...d2199c196f - mem0 - Gitea: Git with a cup of tea

JDSS/mem0

Author	SHA1	Message	Date
kartik-mem0	d2199c196f	Merge remote-tracking branch 'origin/main' into docs/stale-vectordbs	2026-06-27 13:08:31 +05:30
kartik-mem0	4e2161dbfe	docs(vectordbs): document missing config params (timezone, service_account_json, additional_headers, use_ssl/ca_certs, embedding_model_dims)	2026-06-25 14:03:14 +05:30
kartik-mem0	8f0516e033	docs(vectordbs): include in-memory store in TS support list	2026-06-25 12:30:15 +05:30
kartik-mem0	131038983c	docs(vectordbs): drop neon/pgvector edits — diskann/hnsw already fixed upstream in #5789	2026-06-25 12:08:01 +05:30
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

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