LangChain Templates Today we're excited to announce the release of LangChain Templates – a collection of easily deployable reference architectures for a wide variety of tasks This is a new way to create, share, download, and customize chains and agents How
@langchain
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Biblos: Semantic Search and Bible Text Summarization with NLP
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Semantic Search + Summarization New community project alert Biblos allows semantic search and summarization of Bible passages using state-of-the-art NLP techniques: Vector search over the entire Bible text using @trychroma and BAAI BGE embeddings
Summarization of -
Advanced Retrieval Algorithm Implementation and Diagram
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Great diagram for one of the advanced retrieval algorithms we recently added
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Evaluating LLMs: Hugging Face Guide
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Great write up on how to evaluate LLMs by our friends at @huggingface !
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Ultimate Guide to Chatting With Your Data
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Chatting With Your Data Ultimate Guide Do you want a **20 minute** read on all things related to chatting with your data? @Prince_krampah has got you covered (with code as well)! Blog: https://
medium.com/aimonks/chatti
ng-with-your-data-ultimate-guide-a4e909591436
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GitHub: https://
github.com/Princekrampah/
rag_chatbot_ultimate_guide
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Fullstack RAG Application TypeScript Guide LLMs Vector Databases
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Fullstack RAG Application in TypeScript A fantastic guide by @dbabbs walks through how to do this from scratch "This guide is tailored for web developers who are looking to learn how to integrate LLMs and vector databases into their projects." Blog: https://
medium.com/@dbabbs/guide-
create-a-full-stack-semantic-search-web-app-with-custom-documents-edeae2b35b3c
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LangChain RAG Overview: Basics and Advanced Topics
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RAG Overview If you've been looking for a good overview of LangChain + RAG, then you're in luck! @sophiamyang recently released a FANTASTIC presentation on exactly that. Covers both the basics as well as more advanced topics Presentation: https://
sophiamyang.github.io/slides-langcha
in-rag-panel/
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Building RAG from Scratch for Your AI Product
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"Why your next AI product needs RAG implemented in it" There are a LOT of different options for RAG But sometimes it's best to go back to the basics and build RAG from scratch @Avra_b wrote a fantastic article on why RAG is needed and how to get started, including a GitHub
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Community Contributions and Open Source Engagement Welcomed
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Again, we're really excited to see how this develops! We are extremely open to contributions and suggestions – please open PRs, file issues, DM us, or get in touch on the discord:
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MRKL agents and Hub loading in LangChain
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Agents MRKL: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/load_from_hub
… Load from Hub: https://
hwchase17.github.io/langchainjs/do
cs/modules/agents/load_from_hub
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