LLM & Text GenerationFinance11 min reading time

Kay x Cybersyn x LangChain: Embedding SEC Filings for RAG

LangChain
Read full post
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 This solution addresses challenges like outdated LLM knowledge, complex financial document formats, and the difficulty of building embedding infrastructure, enabling developers to efficiently integrate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.

More in LLM & Text Generation

DeepSeek V4.1 Flash now available on AI Gateway

Covered by 2 sources

Cohere Debuts Open-Weight 218B Mixture-of-Experts Machine Translation Model

Unite.AI