LLM & Text GenerationFinance11 min reading time

Kay x Cybersyn x LangChain: Embedding SEC Filings for RAG

LangChain
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Kay and Cybersyn have collaborated to create SEC Retriever on LangChain, a tool that simplifies accessing and embedding SEC Filings for use in retrieval-augmented generation (RAG) with large language models. This solution addresses challenges like outdated LLM knowledge, complex financial document formats, and the difficulty of building embedding infrastructure, enabling developers to efficiently integrate up-to-date financial data into generative and conversational AI agents.

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