Hi Hunters 👋
I'm Harrison - co-founder of LangChain - and we're super excited to launch LangChain Templates.
🦜 LangChain Templates offers a collection of easily deployable reference architectures that anyone can use. This is a new way to create, share, maintain, download, and customize chains and agents. They are all in a standard format with allows them to easily be deployed with LangServe, allowing you to easily get production-ready APIs and a playground for free.
We've worked with partners in the community like AWS, Pinecone, Redis, Elastic, and many more to add over 40 different templates, covering things like agents, advanced RAG, and open-source models.
🤔 The main problem we've seen with LangChain is that most of the time developers actually want to edit the internals of the chains/agents. This is difficult for them to do as up until now all chains/agents were part of the Python library, so it would pip installed as source code.
LangChain Templates solves this by providing chains and agents as downloadable templates that are just pulled into your application code. This makes it super easy for developers to modify the prompts, retrievers, logic - just about anything!
🚀 As an added bonus, we've made all templates follow the same format so that they are easily deployable with LangServe (our package for deploying LangChain applications).
We're hoping this is a highly community driven effort and look forward to contributions!
⭐ As an added bonus: sign up now for our hosted LangServe offering (which will make it easy to deploy this templates with one click): https://airtable.com/app0hN6sd93...
About LangChain Templates on Product Hunt
“A collection of production-ready reference architectures”
LangChain Templates launched on Product Hunt on October 31st, 2023 and earned 163 upvotes and 23 comments, placing #11 on the daily leaderboard. Discover, download, and remix templates for a wide range of GenAI use-cases and models. Manage them all in one place.
On the analytics side, LangChain Templates competes within Software Engineering, Artificial Intelligence, GitHub and Community — topics that collectively have 552.8k followers on Product Hunt. The dashboard above tracks how LangChain Templates performed against the three products that launched closest to it on the same day.
Who hunted LangChain Templates?
LangChain Templates was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
LangChain Templates has received 103 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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Chris Messina