Daily Portfolio Summarizer with Langchain, Qdrant, and Mistral AI (via @ollama
) Generate a personalized summary of your portfolio using all local technology! Even better – integrates with @streamlit Blog: https://
rito.hashnode.dev/daily-portfoli
o-summarizer-with-langchain-qdrant-and-mistral-ai
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@langchain
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Portfolio Summarizer with Langchain Qdrant and Mistral AI
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Cogniswitch Agent Now Available as LangChain Toolkit
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Cogniswitch Agent The Cogniswitch developer platform deals with managed retrieval. It handles ingestion, parsing, and fetching of data. It's used by thousands of users in ChatGPT – and it's now available as a LangChain Toolkit! Docs: https://
python.langchain.com/docs/integrati
ons/toolkits/cogniswitch
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Blablado: Extensible Open Source Voice Assistant with Custom Functions
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OSS Voice Assistant `blablado` is an extensible Assistant, that listens to your voice and can execute custom Python functions you provided Shout out @haesleinhuepf for building an awesome project GitHub: https://
github.com/haesleinhuepf/
blablado
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Building Agent-Forward Applications with LangChain and LangGraph
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LangGraph and OpenGPTs: Building Agent-Forward Applications with LangChain A new great video from @AIMakerspace on building agentic applications with some of our newer tech YouTube: https://
youtube.com/watch?v=NdF609
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Gemma Open-Source LLM for Local PDF Summarization
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Summarize large PDFs LOCALLY Get started with Gemma Google's NEW open-source LLM model This video from @Prince_Canuma goes through how to use Gemma via @huggingface to summarize long documents YouTube:
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Local Chat Experience with Gemma and Chainlit
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Create a **fully local** chat experience – Gemma model is used as LLM via @ollama – @chainlit_io is used for deploying We're seeing lots of interest in local chat experiences. Great resource from @mesudarshan YouTube: https://
youtube.com/watch?v=n9AMtX
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Pebblo: Data Visibility and Governance for Generative AI Applications
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Introducing Pebblo — Data Visibility & Governance for Gen-AI apps Pebblo is a new startup aiming to make it extremely clear **what** actually ended up in the your vector store We have a new integration with them! Read about it here: https://
medium.com/@sridhar_ramas
wamy/introducing-pebblo-data-visibility-governance-for-gen-ai-apps-086ca8a62d10
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Building RAG Chatbot with LangSmith and Multi Query
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"Chat with your PDF" Tutorial for building RAG from scratch with @austinbv In this part 4: – Use LangSmith for EVERYTHING – Implement Multi Query to increase retrieval breadth – Add conversation history to make the bot actually "chat" YouTube: https://
youtube.com/watch?v=pOuQp-
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AutoPrompt Framework Optimizes AI Prompts for Real-World Applications
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AutoPrompt Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases. It iteratively builds a dataset of challenging edge cases and optimizes the prompt accordingly GitHub: https://
github.com/Eladlev/AutoPr
ompt
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Improving Agent Accuracy Through Reflection and Critique
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Reflection Agents Agents are unreliable. One of the best ways to improve their accuracy is to run some step to check or critique their previous response. We've added three examples of this (based on recent papers): Reflexion Paper: https://
arxiv.org/abs/2303.11366 Language Agent Tree