LangChain JS Tutorial Leon van Zyl (
@leonvz
) released an excellent tutorial on how to get started with LangChain JS If you are a web dev looking to get started, definitely check this out!
@langchain
-
LangChain JS Tutorial for Web Developers Getting Started
By
–
-
Adding Conversational Memory to RAG Applications
By
–
Adding conversational memory to your RAG app The main UX for LLM applications is chat. That makes it important to know how to add conversational memory to your apps – including you RAG apps! @curious_kaylynn walks through how to do exactly that!
-
GitChat: Open Source AI Chat Interface for GitHub Repositories
By
–
GitChat The goal is for GitChat to be deployed internally at organizations as a helpful, secure, internally-facing AI with knowledge unique to each organization. This OSS project by @kpolley exposes a chat interface for a given GitHub repo Here's why it's awesome: Is a
-
Local LLM RAG Demo with Creative User Experience Design
By
–
The demo below is really interesting for a few reasons:
— LangChain (@LangChain) 14 janvier 2024
🦜Uses local LLMs (seems like @MistralAI via @ollama)
🌲RAG integration for PDFs and web pages
Even more exciting to us though… it changes up the UX! It's not just simply a chat text box
Super creative and practical https://t.co/PLGOO01NO8The demo below is really interesting for a few reasons: Uses local LLMs (seems like @MistralAI via @ollama
)
RAG integration for PDFs and web pages Even more exciting to us though… it changes up the UX! It's not just simply a chat text box Super creative and practical -
Production-Ready Topic Modelling Pipeline Implementation Guide
By
–
Topic Modelling in production https://
towardsdatascience.com/topic-modellin
g-in-production-e3b3e99e4fca
… This great article by Mariya Mansurova goes over: How to build a production-ready pipeline for tagging topics and sentiment of documents How to evaluate how that pipeline is doing A good mix of both building and -
Deploy LangChain Apps with LangServe Deployment Guide
By
–
Deploy LangChain Apps Over the past few months we've worked on LangServe – an easy way to deploy LangChain apps Check out this YouTube video by Ugo Osuji that goes over how to deploy them: Locally
On Google Cloud Run
On Hosted Langserve -
Build Conversational RAG with Mistral-7B and LangChain
By
–
Build a Conversational RAG with Mistral-7B and LangChain This post by Madhav Thaker covers three important topics: How to get started with RAG
How to build a chatbot
How to use open source models Highly recommend reading! https://
medium.com/@thakermadhav/
part-2-build-a-conversational-rag-with-langchain-and-mistral-7b-6a4ebe497185
… -
Building LLM Data Apps: Knowledge Base, Financial Dashboard, Economic Analysis
By
–
Do you want to learn how to build: A knowledge base with REST API for biological data A financial dashboard for stock market events
An economic conditions app Then boy do we have an event for you! Excited to announce our upcoming webinar on building LLM Data Apps -
LangChain v0.1.0 Introduces Seven Agent Types Documentation
By
–
LangChain v0.1.0 Highlights Agents As part of v0.1.0, we: Added documentation on the seven different agent types (and when to use each one)
Rewrote agents in LCEL for improved ability to customize Agent Types: https://
python.langchain.com/docs/modules/a
gents/agent_types/
… YouTube: -
Together Launches langchain-together Python Package for Embeddings
By
–
@togethercompute Embeddings Today we’re excited to announce the new langchain-together Python package, which has connections to Together’s LLM and Embeddings endpoints. This is the easiest way to access the next-gen embedding models their team has been developing. Learn