Deployment templates In the documentation, there is now a section for templates for how to deploy your LangChain app! https://
langchain.readthedocs.io/en/latest/depl
oyments.html
… Very open to contributions here – if you have any suggestions let us know!
AI
-
LangChain deployment templates documentation now available
By
–
-
LangChain Multiple Memory Support Feature Release
By
–
Multiple Memory support – @diwanksingh You can now easily create a new memory instance that is a combination of multiple other types of memory! You no longer have to pick just one Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/memory/examples/multiple_memory.html
… -
WolframAlpha Integration Tool for LangChain Framework
By
–
WolframAlpha integration – @nickscamara_ Support for using Wolfram Alpha as a tool Collab Notebook: https://
colab.research.google.com/drive/1AAyEdTz
-Z6ShKvewbt1ZHUICqak0MiwR
… Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/wolfram_alpha.html
… s/o to others @brucehammer for suggesting this a few weeks ago, and others in the discord for reviewing! -
v0.0.60 Release: WolframAlpha Integration and Memory Support
By
–
v0.0.60 – big release! WolframAlpha integration – @nickscamara_ Multiple Memory support – @diwanksingh Doc improvements – @Yoooongtae Return scores during semantic search – h/t @krrish_dh Add namespaces to @pinecone – @m_morzywolek Deployment templates
-
Developer Returns to Coding After 1.5 Years Burnout
By
–
It’s funny cause I didn’t write code in like 1.5 years, after selling and burning out. I’ll come back to it slowly tho.
-
Microsoft deal benefits clear but OpenAI imbalance raises concerns
By
–
everyone understands this deal is good for MSFT. the problem is the extreme imbalance for OpenAI is actually concerning
-
Exploring Generative AI: Practical Examples and Applications
By
–
Looking to explore these further? We dive into specific examples, and more, in our latest blog post on generative AI. Read it here: https://
txt.cohere.ai/generative-ai-
part-2/
… -
Simplifying Complex Text: Key Concepts Extraction Technique
By
–
6. Simplify the complex When you want to rewrite a piece of text into a simpler, more accessible copy. Example use cases:
– Simplifying technical explanations
– Understanding complex text
– Extracting key concepts from a passage -
Condensing Information: A Key Prompt Engineering Technique
By
–
5. Condense information When you want to get a summarized version of a document that strips it to its essence. Example use cases:
– Summarizing reports
– Getting the TLDR of articles
– Generating the key points from a podcast -
Augmenting AI Skills: Writing and Creative Pitch Generation
By
–
4. Augment a skill When the task requires a skill that you may not yet possess. Example use cases:
– Writing poems
– Writing fiction stories
– Formulating product pitches