LangChain - LangChain Blog (Page 10)

Introducing LangServe, the best way to deploy your LangChains

We think the LangChain Expression Language (LCEL) is the quickest way to prototype the brains of your LLM application. The next exciting step is to

By LangChain 5 min read

Fine-tuning ChatGPT: Surpassing GPT-4 Summarization Performance–A 63% Cost Reduction and 11x Speed Enhancement using Synthetic Data and LangSmith

Editor's Note: This post was written by Charlie George, machine learning engineer at Elicit. Summary * Fine-tuned ChatGPT beats GPT-4 for news article summarization

5 min read

Using a Knowledge Graph to implement a DevOps RAG application

Editor's Note: This post was written in collaboration with the Neo4J team. RAG applications are all the rage at the moment. Everyone is

8 min read

Building (and Breaking) WebLangChain

Important Links: * Hosted WebLangChain * Open-source code for WebLangChain Introduction One of the big shortcomings of LLMs is that they can only answer questions about data

By LangChain 12 min read

Handling PII data in LangChain

This blog post was written by Francisco, a founder at Pampa Labs, who assists companies in developing LLM applications that are accurate and cost efficient.

5 min read

Kay x Cybersyn x LangChain: Embedding SEC Filings for RAG

Editor's Note: This post was written by the Kay team, in collaboration with Cybersyn. Financial data processing is hard. SEC Retriever on LangChain–

9 min read

Bringing Free OSS Models to the Playground with Fireworks AI

A year ago, the only real LLM people were using was OpenAI's GPT-3. Fast forward to now, and there are a multitude of

3 min read

How "Correct" are LLM Evaluators?

Summary: * We tested LangChain's LLM-assisted evaluators on common tasks to provide guidelines on how to best use them in your practice. * GPT-4 excels

7 min read

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

By LangChain 6 min read

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

15 min read

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

3 min read

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