Memgraph Creates Toolkit for Non-Graph Users to Jumpstart the Journey to Full GraphRAG AI Capability
Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...
First run on macOS may show a Gatekeeper warning. Use right‑click → Open, or codesign/notarize for distribution. Build on the target architecture (Apple Silicon vs Intel) for best compatibility. The ...
What if the tools you use to build AI agents could be faster, smarter, and more intuitive than ever before? With the release of LangChain 1.0, this isn’t just a possibility, it’s a reality. In just ...
LangChain raised $125 million at a $1.25 billion valuation, the company announced on Monday. TechCrunch reported in July that the provider of a popular open source framework for building AI agents was ...
LangChain Inc., a startup that helps developers build artificial intelligence agents, has raised $125 million in funding at a $1.25 billion valuation. Fortune reported today that IVP led the Series B ...
The emerging field of AI orchestration just got an additional boost of confidence with the alpha release of LangChain’s two flagship platforms, LangGraph and LangChain version 1.0. Graduating to a 1.0 ...
Abstract: Using vector database technology and natural language processing, the Hybrid Search RAG (Relation Attribute Graph or Retrieval Augmented Generation) with LangChain and Pinecone Vector DB is ...
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Ports are undergoing constant transformation, induced by changes in the global economy, technology, or the environment. Port reform is influenced by factors that include aspirations for change ...
LangChain, an AI infrastructure startup providing tools to build and monitor LLM-powered applications, is raising a new round of funding at an approximate $1 billion valuation led by IVP, according to ...
Invoking: sql_db_query_checkersql_db_query with {'query': "SELECT tenant_id as '租户id',consignor_code as '货主代码',goods_code as '商品代码',goods_name as ...
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