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Context by Fleet: Python Ecosystem Documentation Embeddings

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@langchain

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08 November 2023 17h56

Context by Fleet is an awesome project to embed the docs of basically the entire Python ecosystem. Use it to give your LLM up-to-date information about just about any library.

Check out how you can build your own Chat LangChain experience using Context's embeddings of the… https://t.co/ElmZog6ftb
— LangChain (@LangChain) 8 novembre 2023

Context by Fleet is an awesome project to embed the docs of basically the entire Python ecosystem. Use it to give your LLM up-to-date information about just about any library. Check out how you can build your own Chat LangChain experience using Context's embeddings of the

→ View original post on X — @langchain

8 November 2023
SPADE: Automated Test Generation from LLM Prompt Refinements

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@langchain

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08 November 2023 17h41

Sick of debugging finicky LLM apps? 😫

Introducing ♠️ SPADE, a tool that automatically generates tests from prompt refinements! 🧪

Paste any prompt from the LangChain Hub and it will tailor eval recommendations using prompt deltas. 🔁

SPADE analyzes version history to suggest… pic.twitter.com/eSmWaPjqc8
— LangChain (@LangChain) 8 novembre 2023

Sick of debugging finicky LLM apps? Introducing SPADE, a tool that automatically generates tests from prompt refinements! Paste any prompt from the LangChain Hub and it will tailor eval recommendations using prompt deltas. SPADE analyzes version history to suggest

→ View original post on X — @langchain

8 November 2023
LangChain Introduces Fallbacks for LLM API Error Handling

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@langchain

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08 November 2023 16h51

Introducing Fallbacks in It’s not uncommon to encounter issues with LLM API's. In production, you need to gracefully handle such issues. We’ve introduced Fallbacks to the LangChain Expression Language (LCEL) to help with just that. Available in Python and JS! a :

→ View original post on X — @langchain

8 November 2023
LangChain Fallbacks Prevent LLM Outages and Downtime

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@langchain

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08 November 2023 16h50

LLM Outages?! No problem. Use LangChain fallbacks to avoid any downtime! https://
python.langchain.com/docs/guides/fa
llbacks
…

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8 November 2023
OpenAI Assistants API Integration with LangChain Tools

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@langchain

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07 November 2023 20h56

OpenAI Assistants API Spin up OpenAI assistants and run them as any other LangChain agent! This involves connecting them to LangChain's 100+ tools, OpenAI's code interpreter + retrieval, or easily defining your own! Try it out yourself: https://
github.com/langchain-ai/l
angchain/blob/master/cookbook/openai_v1_cookbook.ipynb
…

→ View original post on X — @langchain

7 November 2023
Building Personalized RAG Chatbots with Social Media Data

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@langchain

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05 November 2023 19h56

Conversational RAG LLM App with Social Media Context Data A great project by Claire Longo shows how to create ClaireBot This chatbot is personalized with her voice and her knowledge (from social media) It's still an open question how to best customize a chatbot with

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5 November 2023
MongoDB Parent Document Retriever Template

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@langchain

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04 November 2023 18h22

MongoDB Parent Document Retriever The fact that @MongoDB is a full-fledged document store, with its own query language, makes it perfect for more advanced retrieval techniques like "Parent Document Retrieval" – so we added a template to get started easily Parent Document

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4 November 2023
LangChain Newsletter: Templates, Data Annotation, and Weekly Insights

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@langchain

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03 November 2023 18h27

Latest LangChain Newsletter is out LangChain Templates resources + favorites
Data Annotation Queue resources in Favorite Blogs from the week
…and more! read here or sign up to get it in your inbox every other week https://
blog.langchain.dev/week-of-10-30-
langchain-release-notes/
…

→ View original post on X — @langchain

3 November 2023
RAG Reranking: Enhancing Retrieval with Pinecone Cohere

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@langchain

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03 November 2023 18h01

RAG with reranking – leveraging @pinecone and @cohere Reranking is a retrieval technique that performs an additional step on top of retrieved results This step uses a separate model to rerank the results, making sure the most relevant ones surface to the top @jamescalam

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3 November 2023
LangChain Templates GitHub Project Launches Community Contribution Initiative

By

@langchain

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03 November 2023 17h51

Call for templates We've started a GitHub project to allow people to: Add or upvote ideas for LangChain Templates
Assign one of the template ideas to themselves and take a stab at building it Lots of cool ideas on there already – check it out, add some more

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3 November 2023

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