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LangChain Forum - Latest posts

Proposal: additional docs for implementing custom DB checkpointers or a guide on generic base checkpointer Langsmith Fleet Sandbox Failure Prompt_cache_retention: &#39;24h&#39; supported in langchain agents and where to provide it, inside invoke or while creating client? Could RAG pipelines realistically cause deployment timeouts, is Render suitable for first-time RAG deployments? How do I use langchain_postgres&#39; init_vectorstore_table correctly? Proposal: Graph-wide default error handler for StateGraph (fallback for nodes without error_handler) Support timedelta for CachePolicy.ttl, consistent with TimeoutPolicy The x402 illusion: Is advertising dead in the age of agents? Question about LangSmith Trace Search via API How to cancel a run correct !! Anyone confirms this issue that deepagent ui streaming is disturb by update in deepagent or bug issue Would pre-inference routing help long-context agent workflows? 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Free Self-hosted LangGraph Agent Server: how to separate API and queue workers using Docker LangSmith signup stuck on activation screen New integration: langchain-w2a — LangChain tools for W2A-enabled websites Custom routes not working self-hosted standalone Trace-to-Fix: how are you actually improving RAG/agents after observability flags issues? `Failed to use model_dump to serialize <class 'langchain_core.tools.structured.StructuredTool'> to JSON: PydanticSerializationError(Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>)` `PydanticDeprecatedSince20: The `dict` method is deprecated; use `model_dump` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.12/migration/` BaseSandbox.write() fails if file already exists -- any way to overwrite? What does the security architecture of AI agents actually look like? 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Using SQLRecordManager
mgarcia · 2026-04-20 · via LangChain Forum - Latest posts
Dear all, Does anybody have a good reference on how to use SQLRecordManager ? I trying to avoid duplicated documents on my vector store (Chroma). I have the following code: from langchain_classic.indexes import SQLRecordManager, index (...) # Initialize the record manager. record_manager = SQLRecordManager( namespace="ETD", db_url=f"sqlite:///{record_manager_db}", ) logger.info("Indexing document to vector store") result = index( chunks, record_manager, vector_store, cleanup="incremental", source_id_key="source", key_encoder="blake2b", ) logger.info( "Indexing complete: added=%d, skipped=%d, deleted=%d", result["num_added"], result["num_skipped"], result["num_deleted"], ) (...) when I run my script to ingest documents that are already indexed, I see that some chunks are updated (added and deleted): 2026-03-18 13:50:01,392 - __main__ - INFO - Indexing complete: added=37, skipped=100, deleted=37, So it seems to be OK. But the SQLite file keeps growing even if the net sum of added elements is zero. Is this OK? If yes, then, doesn’t this behavior defeats the purpose of not adding duplicated items? Thank you Marcelo 2 posts - 2 participants Read full topic