LangChain + Docugami Webinar: Lessons from Deploying LLMs with LangSmith Editor's Note: This post was written in collaboration with the Docugami team. We recently did a webinar with them and Rechat to talk
TED AI Hackathon Kickoff (and projects we’d love to see) The TED AI Hackathon kicks off October 14 and we’re excited to be their partner in bringing it to life! TED has a long
How to Safely Query Enterprise Data with LangChain Agents + SQL + OpenAI + Gretel Editor's Note: This post was written in collaboration with the Gretel team. We're really excited by their approach to combining agent-based
OpaquePrompts x LangChain: Enhance the privacy of your LangChain application with just one code change Editor's Note: This blog post was written in collaboration with the Opaque team. As more apps get into production, we've been
Neo4j x LangChain: Deep dive into the new Vector index implementation Learn how to customize LangChain’s wrapper of Neo4j vector index Editor's Note: This post was written in collaboration with the Neo4j team.
Syncing data sources to vector stores Most complex and knowledge-intensive LLM applications require runtime data retrieval for Retrieval Augmented Generation (RAG). A core component of the typical RAG stack is a
Announcing our Student Hacker in Residence Program, Fall '23 Semester Today, we're opening up applications for our inaugural student hacker in residence program. We're looking for 3-5 students to work alongside
Streamlit LLM Hackathon Kickoff (and projects we’d love to see) Streamlit’s LLM Hackathon kicks off today and we’re thrilled to be partnering with them to bring it to life. We’ve been building
Announcing LangChain Hub Today, we're excited to launch LangChain Hub–a home for uploading, browsing, pulling, and managing your prompts. (Soon, we'll be adding
Incorporating domain specific knowledge in SQL-LLM solutions Editor's Note: This post was written in collaboration with Manuel and Francisco from the Pampa Labs team. We're always excited to
TitanTakeoff x LangChain: Supercharged Local Inference for LLMs Editor's Note: This post was written in collaboration with the TitanML team. The integration between their NLP development platform + LangChain makes inference LLMs
Boost Your Bottom Line and Performance: OpenAI’s 3.5T Fine-Tuning with LangSmith Editor's Note: This post was written in collaboration with Author Ryan Brandt from the ChatOpenSource.com team. It's a detailed look
