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Eden AI x LangChain: Harnessing LLMs, Embeddings, and AI

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

9 min read
Peering Into the Soul of AI Decision-Making with LangSmith

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

10 min read
LangChain + Docugami Webinar: Lessons from Deploying LLMs with LangSmith

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

3 min read
TED AI Hackathon Kickoff (and projects we’d love to see)

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

2 min read
How to Safely Query Enterprise Data with LangChain Agents + SQL + OpenAI + Gretel

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

6 min read
OpaquePrompts x LangChain: Enhance the privacy of your LangChain application with just one code change

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

4 min read
Neo4j x LangChain: Deep dive into the new Vector index implementation

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.

6 min read

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

4 min read
Announcing our Student Hacker in Residence Program, Fall '23 Semester

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

By LangChain 1 min read
Streamlit LLM Hackathon Kickoff (and projects we’d love to see)

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

2 min read
Announcing LangChain Hub

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

By LangChain 6 min read
Incorporating domain specific knowledge in SQL-LLM solutions

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

5 min read

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