feat: TS SDK v3 port, graph store removal, client v3 API migration
TypeScript SDK v3 pipeline (full parity with Python): - Single-pass additive extraction with ADDITIVE_EXTRACTION_PROMPT - Hybrid search (semantic + BM25 + entity boost) with additive scoring - 8-phase batch pipeline (batch embed, persist, entity linking) - New utils: scoring.ts, lemmatization.ts (natural), entity_extraction.ts (compromise) - keywordSearch() on 8 vector stores (3 full: PGVector, Memory, Azure AI Search) - Message persistence in SQLiteManager (rolling window of 10) - Entity store as second vector collection - MAX_BATCH=100 chunking guard on OpenAI/Azure embedBatch - Updated default LLM model to gpt-4.1-nano-2025-04-14 - compromise + natural added as peer dependencies Graph store removal (Python + TypeScript): - Removed Neo4j, Memgraph, Kuzu, Neptune, Apache AGE integrations - Deleted 18 graph-related files across both SDKs - Removed GraphStoreFactory, GraphStoreConfig, graph_store config field - Removed "relations" key from all API responses - Removed graph optional dependency group from pyproject.toml - Removed neo4j-driver from TS peerDependencies - Simplified add/search/delete/reset (no more parallel graph operations) Client SDK v3 API migration: - add() endpoint: /v1/memories/ -> /v3/memories/ (async response) - search() endpoint: /v2/memories/search/ -> /v3/memories/search/ - Removed output_format injection and v1.1 unwrapping logic - Applied to both Python (sync + async) and TypeScript clients Review feedback fixes: - Removed deprecated custom_update_memory_prompt from MemoryConfig - Added MAX_BATCH=100 chunking to Python + TS embed_batch - Moved all inline imports to top level in main.py - Cleaned up GraphStoreError dead code from exceptions.py Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Opus 4.6
parent
3402c67805
commit
59880a6f8f
@@ -27,15 +27,6 @@ dependencies = [
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nlp = [
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"spacy>=3.7.0",
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]
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graph = [
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"langchain-neo4j>=0.4.0",
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"langchain-aws>=0.2.23",
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"langchain-memgraph>=0.1.0",
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"neo4j>=5.23.1",
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"rank-bm25>=0.2.2",
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"kuzu>=0.11.0",
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"apache-age-python>=0.0.6",
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]
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vector_stores = [
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"vecs>=0.4.0",
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"chromadb>=0.4.24",
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@@ -110,7 +101,6 @@ only-include = ["mem0"]
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python = "3.9"
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features = [
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"test",
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"graph",
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"vector_stores",
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"llms",
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"extras",
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@@ -120,7 +110,6 @@ features = [
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python = "3.10"
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features = [
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"test",
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"graph",
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"vector_stores",
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"llms",
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"extras",
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@@ -130,7 +119,6 @@ features = [
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python = "3.11"
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features = [
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"test",
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"graph",
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"vector_stores",
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"llms",
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"extras",
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@@ -140,7 +128,6 @@ features = [
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python = "3.12"
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features = [
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"test",
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"graph",
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"vector_stores",
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"llms",
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"extras",
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