Hackernews posts about LangChain
LangChain is an artificial intelligence language model designed to generate human-like text based on input prompts.
- An Introduction to LangChain's Deep Agents (medium.com)
- Use LangChain with Codex (ChatGPT) Plus/Pro (github.com)
- SmithDB, the data layer for agent observability (www.langchain.com)
- We built the fastest database for querying large agent traces using Rust (www.langchain.com)
- The Anatomy of an Agent Harness (www.langchain.com)
- LangGraph and Cosmos DB: one back end for agents, memory, and RAG (devblogs.microsoft.com)
- Why we no longer use LangChain for building our AI agents (www.octomind.dev)
- Quick Primer on MCP Using Ollama and LangChain (www.polarsparc.com)
- Agno: Agent framework 10,000x faster than LangChain (docs.agno.com)
- Structured Output with LangChain and Llamafile (blog.brakmic.com)
- Open SWE by LangChain (swe.langchain.com)
- LangChain raises $125M to build the platform for agent engineering (blog.langchain.com)
- LangChain vs. LlamaIndex (myscale.com)
- Query your database with AI using LangChain and Gradio (jstoppa.com)
- Reflections on Three Years of Building LangChain (blog.langchain.com)
- LangChain is about to become a unicorn, sources say (techcrunch.com)
- LangChain is about to become a unicorn (techcrunch.com)
- LangChain Hits $1.25B Valuation (techcrunch.com)
- OpenAPI Meets Qwen: AI-Powered API Docs with Quarkus, LangChain4j and Ollama (myfear.substack.com)
- LangChain's Second Birthday (blog.langchain.dev)
- LangChain vs. OpenAI API: When Simplicity Meets Scalability (blogs.adityabh.is-a.dev)
- LangChain is powerful, but running it in production isn't (modelriver.com)
- Show HN: LangChain and Tensorlake = Better Document RAG (www.tensorlake.ai)