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Harrison Chase @hwchase17

@LangChainAI, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analytics Joined July 2014
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Harrison Chase retweeted
LangChainAI Profile Picture

LangChain @LangChainAI

11 hours ago

🚀 Perplexica - An AI-powered search engine 🔎 Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Built with LangChain, this is a great resource for getting started! github.com/ItzCrazyKns/Pe…

Harrison Chase retweeted
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DataStax @DataStax

19 hours ago

Astra DB makes it 100x easier to build production-ready @LangChainAI apps for Generative AI and RAG (Retrieval-Augmented Generation). Check out some resources for building with LangChain + Astra DB, and get started today: dtsx.io/4aRZo7X

Harrison Chase retweeted
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LangChain @LangChainAI

18 hours ago

🤖AutoHyDE: Making HyDE Better for Advanced LLM RAG A fun article exploring new and creative RAG techniques Builds upon HyDE to add in keyword generation, clustering, etc Implements a LangChain Embedder which makes it easy to try out in your pipeline towardsdatascience.com/autohyde-makin…

Harrison Chase retweeted
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Sudarshan Koirala @mesudarshan

17 hours ago

Learn how to use LangSmith from @LangChainAI and thank me later. Thank you @hwchase17 and LangChain team for creating this awesome tool 💥 #langsmith #langchain #llm

LangChainAI Profile Picture

LangChain @LangChainAI

4 weeks ago

Learn how to use LangSmith from @LangChainAI and thank me later. Thank you @hwchase17 and LangChain team for creating this awesome tool 💥 #langsmith #langchain #llm

Harrison Chase retweeted
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Sudarshan Koirala @mesudarshan

18 hours ago

Learn how to use @qdrant_engine alongside @GroqInc and @LangChainAI in three setups: 👉local mode 👉server mode with Docker 👉 Qdrant Cloud Video: youtu.be/JSKZYgARffg #langchain #qdrant #groq #llm #ai

Harrison Chase retweeted
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LangChain @LangChainAI

21 hours ago

💬"LangChain Tool Calling feature just changed everything" We recently added a common interface for tool calling across model providers This makes it easy to build agents that work across models Watch @EdenEmarco177 explain why this is a big deal youtube.com/watch?v=dj8Yqi…

Harrison Chase retweeted
svpino Profile Picture

Santiago @svpino

23 hours ago

My full, 1-hour tutorial on how to build a RAG application from scratch. Python + @LangChainAI + @OpenAI

Harrison Chase retweeted
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Sam Witteveen @Sam_Witteveen

2 days ago

New 🤖 agents video out using LangGraph (@LangChainAI) powered by Llama3 70B on @GroqInc to make an Email Agent youtu.be/lvQ96Ssesfk

Harrison Chase retweeted
EdenEmarco177 Profile Picture

Eden Marco @EdenEmarco177

3 days ago

LangGraph by @LangChainAI 🦜⛓️‍💥 is an elegant framework for building advanced agentic flows In this YouTube video I walk through the project GPT Newspaper by @weiss_rotem (using @tavilyai ) Talking about their implementation of a reflection agent youtu.be/E7nFHaSs3q8?si…

Harrison Chase retweeted
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Upstash @upstash

2 days ago

New Blog! Implement smarter search functionality that understands context for your document sites. Here's a step-by-step guide. 🔹 Upstash Vector -> semantic queries 🔹Next.js -> the app 🔹Langchain -> document chunking 🔹Octokit -> GitHub parsing upstash.com/blog/semantic-…

Harrison Chase retweeted
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LangChain @LangChainAI

2 days ago

💃 Upstage integration package 🤝 @upstageai has released their `langchain-upstage` integration package, including their Solar chat model, embedding model, a task-specific groundedness check model, and a layout analysis document loader. Check them out here:…

Harrison Chase retweeted
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Aidan Gomez @aidangomez

3 days ago

Yesterday, we open sourced the Cohere Toolkit. We think this will be a major accelerant for getting LLMs into production within enterprise. github.com/cohere-ai/cohe…

Harrison Chase retweeted
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ClickHouse @ClickHouseDB

3 days ago

For observability data, ClickHouse is all you need! 🙌 Our friends at @LangChainAI have written a guest blog post explaining how they use ClickHouse to power their GenAI observability platform, LangSmith. Learn more below! 👇 clickhou.se/4d3ZJ9b

hwchase17 Profile Picture

Harrison Chase @hwchase17

3 days ago

A great deep dive from @tb_tomaz on doing retrieval with graph databases Optimize the retrieval with metadata techniques

LangChainAI Profile Picture

LangChain @LangChainAI

3 days ago

A great deep dive from @tb_tomaz on doing retrieval with graph databases Optimize the retrieval with metadata techniques https://t.co/JHPzjPLrdQ

Harrison Chase retweeted
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LangChain @LangChainAI

3 days ago

🤝 Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j 🤝 Text embeddings and vector similarity search help us find documents by understanding their meanings and how similar they are to each other. However, text embeddings aren’t…

hwchase17 Profile Picture

Harrison Chase @hwchase17

3 days ago

Copilotkit is great!

svpino Profile Picture

Santiago @svpino

3 days ago

Copilotkit is great!

Harrison Chase retweeted
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Santiago @svpino

3 days ago

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: github.com/CopilotKit/Cop… Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of…

Harrison Chase retweeted
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Div @divyanshu_van

3 days ago

Flow Engineering is all you need: Multiturn flows > few shot prompting! The excellent webinar recently hosted by @hwchase17 (@LangChainAI ) with @itamar_mar on Flow Engineering is the reminder we needed, inspiring this post! div.beehiiv.com/p/flow-enginee…

Harrison Chase retweeted
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Sully @SullyOmarr

3 days ago

I’ve done a complete 180 on Langchain It’s really improved a ton especially with langsmith I can easily swap 4-5 different LLMs with 2 lines of code. All providers supported My agents mix and match various models (mostly using my own agent architecture under the hood)

Harrison Chase retweeted
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WFH @WHinthorn

3 days ago

Excited to share our tutorial walking through "Can Language Models Solve Olympiad Programming?" in LangGraph. The paper shows how to push LLMs to solve progressively harder coding problems through: Credit to the authors: @BenShi34, @MichaelTang, @karthik_r_n, and @ShunyuYao12

LangChainAI Profile Picture

LangChain @LangChainAI

3 days ago

Excited to share our tutorial walking through "Can Language Models Solve Olympiad Programming?" in LangGraph. The paper shows how to push LLMs to solve progressively harder coding problems through: Credit to the authors: @BenShi34, @MichaelTang, @karthik_r_n, and @ShunyuYao12

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