AI and machine learning
LangChain
LangChain for retrieval pipelines and agents where its abstractions earn their keep, and plain Python where they do not.
How I use it
I use LangChain for document loading, chunking, retrieval and tool-calling agents when a project benefits from its integrations. When the pipeline is simple I write it directly against the model API instead; fewer layers means fewer surprises. OGE uses LangChain with Pinecone for its retrieval layer.
Offered through
Shipped with LangChain
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Questions clients ask about LangChain
- Is LangChain necessary for a RAG system?
- No. It saves time on loaders and integrations, and costs you some control. I decide per project based on how many sources and tools are involved.
Work with me
Need LangChain work done?
I work remotely with clients across the US, Canada, the UK, the UAE, Brazil and Australia. Tell me what you are building and I will reply with questions, a plan and an estimate.
- Published in IEEE Access, 2025
- BSc CS, Gold Medalist
- Clients in 6 countries
- 10 shipped projects