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Harrison Chase

👁 LangChain

16.8K posts

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Harrison Chase

👁 LangChain

@hwchase17

@LangChain Always hiring: langchain.com/careers

Joined July 2014

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Harrison Chase
👁 LangChain
@hwchase17
May 13
🚀Launching: LangSmith Engine LangSmith Engine is an agent that sits on top of your traces It runs in the background and automatically identifies issues It then proactively suggests action items (code changes, evaluators to add) Try it today: smith.langchain.com
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Harrison Chase
👁 LangChain
@hwchase17
May 13, 2023
🌟privateGPT🌟 - this is sick!!! I've always had people asking me if it was feasible to use @langchain with open source models, and my answer was "at the moment, not really..." but @ivanmartit did it!!!!! this is a huge step forward 👏👏👏
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GitHub - zylon-ai/private-gpt: Interact with your documents using the power of GPT, 100% privately,...
From github.com
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Harrison Chase
👁 LangChain
@hwchase17
Apr 17, 2023
🤖Generative Agents🤖 Last week, Park et all released “Generative Agents”, a paper simulating interactions between tens of agents We gave it a close read, and implemented one of the novel components it introduced: a long-term, reflection-based memory system 🧵
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Harrison Chase
👁 LangChain
@hwchase17
Apr 10, 2023
Baby-AGI by @yoheinakajima is taking the world by storm Here's an implementation within the @langchain framework, allowing you to easily substitute in other vectorstores and other LLMs Docs: python.langchain.com/en/latest/use_…
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Harrison Chase
👁 LangChain
@hwchase17
Apr 4, 2023
Really excited to publicly announce that: 1⃣ @ankush_gola11 and I have started a company around @langchain 2⃣We raised a seed round from @benchmark We wrote a bit about the journey so far, and where we want to take it:
langchain.com
Announcing our $10M seed round led by Benchmark
LangChain secures $10M seed round from Benchmark to empower developers building AI apps with our open-source framework for data-aware, agentic LLMs.
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Harrison Chase
👁 LangChain
@hwchase17
Mar 24, 2023
LangChain 🤝 AIPlugins A first open source attempt at using AIPlugins (the same ones ChatGPT is using) s/o @vaibhavk97 for this. Excited to see what other techniques the @langchain community comes up with - it's only the beginning Docs (Python and JS) in 🧵
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Harrison Chase
👁 LangChain
@hwchase17
Mar 23, 2023
OpenAI recently open-sourced `chatgpt-retrieval-plugin`, a module for creating a retriever based on your own data github.com/openai/chatgpt… Can you combine this with @langchain's 40+ DocumentLoaders? Yes. Yes you can. Gist for doing so: gist.github.com/hwchase17/1429…
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GitHub - openai/chatgpt-retrieval-plugin: The ChatGPT Retrieval Plugin lets you easily find...
From github.com
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Harrison Chase
👁 LangChain
@hwchase17
Mar 1, 2023
ChatGPT @OpenAI API was released today, and the first of many integrations is now available in @langchain Python docs (`pip install langchain==0.0.98`): langchain.readthedocs.io/en/latest/modu… JS/TS docs (`yarn add [email protected]`): hwchase17.github.io/langchainjs/do…
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Harrison Chase
👁 LangChain
@hwchase17
Apr 15, 2023
Yesterday @karpathy tweeted about using SVMs instead of KNN for retrieval (pros: better results, flexibility; cons: takes longer) Today @RLanceMartin implemented it in @langchain 🚀🚀 Play around with it here! python.langchain.com/en/latest/modu…
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Harrison Chase
👁 LangChain
@hwchase17
Mar 27, 2023
⭐️Claude + AI Plugins⭐️ AI Plugins (the ones ChatGPT is using) are usable by ANY language model It takes a tiny bit of prompt engineering, but here is @AnthropicAI's Claude using them Code: gist.github.com/hwchase17/554e…
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Harrison Chase
👁 LangChain
@hwchase17
Apr 27, 2023
Retrieval for QA systems is hard Vector search is good for capturing semantically similar texts, but often queries specify desired attributes like time, authorship, or other "metadata" fields, which vector search is not great at Enter... ⭐️SelfQueryRetriever⭐️
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Harrison Chase
👁 LangChain
@hwchase17
Apr 20, 2025
OpenAI recently released a guide on building agents which contains some misguided takes There's a lot of FUD, confusion, hype, and noise around agents I wrote a blog on how to think about agent frameworks. Includes: Background Info - What is an agent? - What is hard about
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Harrison Chase
👁 LangChain
@hwchase17
Jun 13, 2023
🚨Emergency OpenAI Functions Release🚨 `pip install langchain==0.0.199` ✅ Support for functions in chat model wrapper ✅ Convert @langchain tools to functions Docs: github.com/hwchase17/lang… Next up... I think its time for a new type of agent 😁
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Harrison Chase
👁 LangChain
@hwchase17
Dec 16, 2023
My TED talk is out! I talk about what it takes to build "context-aware reasoning applications", including: 4 different ways of providing context to LLMs 6 different types of cognitive architectures
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The magical AI assistants of the future — and the engineering behind them
From ted.com

URL: https://x.com/hwchase17

⇱ Harrison Chase (@hwchase17) / X