RAG From Scratch: Query Translation (Decomposition) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the third in our videos on Query Translation, focused on approaches for decomposition w/ ideas from Least-to-Most
@langchain
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Upsy: Open Source Slack Bot for Conversation Memory
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Upsy: Your new mate on Slack Upsy is an open source Slack bot that remembers your conversations to provide fast, accurate answers whenever you have a question. Fully open source! Great work by the @upstash team to create this template!
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LangChain Embeddings and Vectorstores Guide RAG
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LangChain 101: Embeddings and Vectorstores Embeddings and Vectorstores are key to understanding RAG Good community blog by Ivan Reznikov (3rd one in the series) explaining these concepts https://
pub.towardsai.net/langchain-101-
part-3b-talking-to-documents-embeddings-and-vectorstores-c37d460f1519
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Enhancing If-Statements Through LLM Prompt Classification With Ollama
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Supercharging If-Statements With Prompt Classification Using Ollama and LangChain Lumos is an LLM co-pilot for browsing the web, powered by local LLMs There are a lot of small architectural decisions made that contain a ton of nuance, and so we're super excited to post
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LLMCompiler: Fast Parallel Agent Task Execution with LangGraph
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LLMCompiler: blazing-fast agent execution Plan tasks as a DAG.
Stream parallelized task execution (while the planner is still thinking!)
Respond or replan. Build it for yourself in LangGraph! Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/llm-compiler/LLMCompiler.ipynb
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Youtube: https://
youtu.be/uRya4zRrRx4?fe
ature=shared&t=1183
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Chat Application with LangChain, LLMs, Streamlit SQL Database
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Want a fun *16* minute weekend read? Building a Chat Application with LangChain, LLMs, and Streamlit for Complex SQL Database Interaction Using LLMs to interact with SQL databases can be complicated – this is a great deepdive https://
towardsdatascience.com/building-a-cha
t-app-with-langchain-llms-and-streamlit-for-complex-sql-database-interaction-7433245079f3
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Building Chatbots with LangChain and OpenAI Guide
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How to Build Your Own Chatbot with LangChain and OpenAI Chat is the dominant UX for LLM applications. Great blog by Tahreem Rasul walks through how to build one Covers how to keep it on track and only responding to specific topics! https://
medium.com/@tahreemrasul/
how-to-build-your-own-chatbot-with-langchain-and-openai-f092822b6ba6
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Building RAG Chatbot with Upstash Vector Stack
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Building your own RAG chatbot with Upstash Great blog by the @upstash team on how to build a RAG chatbot with a top tier tech stack: Upstash Vector, Upstash Redis, Hugging Face Inference API, Replicate LLAMA-2-70B Chat model, and Vercel https://
upstash.com/blog/rag-chatb
ot-upstash
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ReWOO Agents: Reasoning Without Observations Framework
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Agents that Reason WithOut Observations (ReWOO)⍱ Take the “plan + execute” agent design up a notch via variable assignment. Can generate better plans (and avoid re-planning) while letting task executors focus. JS: https://
github.com/langchain-ai/l
anggraphjs/blob/main/examples/rewoo/rewoo.ipynb
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Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/rewoo/rewoo.ipynb
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Website Chatbot with LangChain GPT-4 and Streamlit
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Chat with any Website using Python and Langchain Build a Website-Interacting Chatbot with LangChain, GPT-4 and Streamlit Full end-to-end application! Great tutorial to walk through on a lazy weekend
