Fine-tune your LLMs with LangSmith and Lilac In taking your LLM from prototype into production, many have turned to fine-tuning models to get more consistent and high-quality behavior in their applications. Services
Timescale Vector x LangChain: Making PostgreSQL A Better Vector Database for AI Applications Editor's Note: This post was written in collaboration with the Timescale Vector team. Their integration with LangChain supports PostgreSQL as your vector database
LangChain and Scrimba Partner to help Web Devs become AI Engineers We’re excited to announce that we are partnering with Scrimba, a code-learning platform with over a million users. Through their interactive video format known
Eden AI x LangChain: Harnessing LLMs, Embeddings, and AI Editor's Note: This post was written in collaboration with the Eden AI team. We're really excited about Eden's approach
Peering Into the Soul of AI Decision-Making with LangSmith Editor's Note: This post was written by Paul Thomson from Commandbar. They've been awesome partners as they brought their application into
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
