if you’re running out of serpapi credits, try this one (10x free queries) Yes, serper and serpapi are different
@hwchase17
-

FLARE Paper: Active Learning for Language Models
By
–
Original paper: https://
arxiv.org/abs/2305.06983
code
…: https://
github.com/jzbjyb/FLARE Original code: http://
github.com/jzbjyb/FLARE Some good tweet threads explaining more: @omarsar0 https://
x.com/omarsar0/statu
s/1657004417726423042?s=20
… @johnjnay -

FLARE: Forward-Looking Active Retrieval Augmented Generation Method
By
–
FLARE Forward-Looking Active REtrieval augmented generation A new retrieval augmented generation method from Zhengbao Jiang, @luyu_gao et all Now in @langchain – slightly modified to support using http://
serper.dev as the retriever https://
python.langchain.com/en/latest/modu
les/chains/examples/flare.html
… -
Repository Integration with LangChain Framework
By
–
your repo is awesome. would love to chat about how to make sure it works well with langchain. can you shoot me a dm? yours dont seem to be open
-
PrivateGPT Enables Open Source Models with LangChain Integration
By
–
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
-
Constitutional AI Chain: Anthropic’s Ethical Framework Implementation
By
–
Big shout out to @samcwl for this idea! Documentation on constitutional AI chain: https://
python.langchain.com/en/latest/modu
les/chains/examples/constitutional_chain.html
… Antropic Paper: https://
arxiv.org/abs/2212.08073 We're intending to grow this collection rapidly, so please contribute ideas if you have any! -

Constitutional AI Registry Now Enables Easy Principle Loading
By
–
One improvement we made the constitutional AI chain – we now have a registry of principles! This means you can now load a constitutional principle easily by name. To start, the collection has all the principles in the original @AnthropicAI paper – which ones should we add next?
-
Calculating embeddings manually too slow for job application
By
–
I applied but I couldn’t calculate embeddings by hand fast enough
-
LangChain Self Query Retriever: Avoiding Prompt Injection in Agents
By
–
Let's use LangChain to analyze LangChain! And show off the power of our self query retriever in the process "what did they say about prompt injection in the agents in production webinar?" Here's why vanilla semantic search would mess up the response to this query:
-
LangChain NYC Meetup Panel Discussion Audio
By
–
No video, but audio from the LIVE @langchain NYC meetup. Currently a panel with @ashe_cs @bernhardsson and others!