LlamaIndex 🦙 @llama_index
The way to connect LLMs to your data. Github: https://t.co/HC19j7vMwc Docs: https://t.co/QInqg2zksh Discord: https://t.co/3ktq3zzYII https://t.co/UXeIlwvvbA llamaindex.ai Joined December 2022-
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Team! Show off your cool open-source AI projects? (bonus if local & private) Let's make this thread happen!!! Reply below with your project. 🧵 Let's go open-source!
Team! Show off your cool open-source AI projects? (bonus if local & private) Let's make this thread happen!!! Reply below with your project. 🧵 Let's go open-source!
We’re excited to feature @llama_index + AWS workshop materials featuring 3+ patterns for building LLM apps on AWS 💫 These include: 1️⃣ Using S3 as a data source for ingestion (with LlamaParse and LlamaCloud) 2️⃣ Use @llama_index with AWS Bedrock LLMs and embeddings 3️⃣ Using…
The folks at @kxsystems are hosting a webinar about how to get the most out of LlamaParse! You'll see how to use LlamaParse for ➡️ Parsing complex documents ➡️ Advanced preprocessing using natural language instructions ➡️ Table extraction ➡️ Image extraction ➡️ Integration with…
Build a best-in-class RAG application with @qdrant_engine! In this tutorial you'll see how to use: ✅ LlamaParse from LlamaIndex to parse documents ✅ @JinaAI_'s latest embeddings to encode meaning ✅ Qdrant's hybrid cloud to store embeddings ✅ Mixtral 8x7b from @MistralAI to…
create-llama is the easiest way to get started with a full-stack RAG application and take it all the way to production, and it just hit version 0.1! There's a ton of updates recently, including: ✅ @ollama support, so you can run llama3 and phi3 ✅ New vector database support…
create-llama is the easiest way to get started with a full-stack RAG application and take it all the way to production, and it just hit version 0.1! There's a ton of updates recently, including: ✅ @ollama support, so you can run llama3 and phi3 ✅ New vector database support…
Build a UX for your LLM chatbot/agent that not only includes streaming, but also showcases sources as expandable UI elements 📖🔎, similar to @perplexity_ai! Now possible in one-line of code through create-llama. Amazing work by @MarcusSchiesser 💫 Check it out:…
Build a UX for your LLM chatbot/agent that not only includes streaming, but also showcases sources as expandable UI elements 📖🔎, similar to @perplexity_ai! Now possible in one-line of code through create-llama. Amazing work by @MarcusSchiesser 💫 Check it out:… https://t.co/BaK3p9vu7f
We love this work from @clusteredbytes that generates a diagram of a knowledge graph in real time, streaming changes to the diagram to the front-end using the @vercel AI SDK.
We love this work from @clusteredbytes that generates a diagram of a knowledge graph in real time, streaming changes to the diagram to the front-end using the @vercel AI SDK.
Language Agent Tree Search 🤖🌲 As LLMs get faster, better, cheaper, developers will be able to compose agentic systems that are able to plan out an entire tree of possible futures, instead of just sequentially planning the next state (e.g. in ReAct). This is crucial for higher…
Use `npx create-llama` to quickly create RAG applications using @llama_index. Now, you can show the sources of the retrieved context (think of @perplexity_ai). Watch the video below to see the feature in action. 📃 Code: github.com/run-llama/crea…
Let's compare Llama-3 & Phi-3 using RAG:
Want to run Phi-3 on your laptop? @ollama has got you with day 0 support as usual! Check out this quick notebook showing completely local RAG using LlamaIndex and Ollama: colab.research.google.com/drive/1RoZzbL8… And Ollama's announcement tweet: x.com/ollama/status/…
Want to run Phi-3 on your laptop? @ollama has got you with day 0 support as usual! Check out this quick notebook showing completely local RAG using LlamaIndex and Ollama: colab.research.google.com/drive/1RoZzbL8… And Ollama's announcement tweet: x.com/ollama/status/… https://t.co/hX8tduGSjP
Phi-3 Mini (3.8B) from @Microsoft was released today, claiming to match Llama 3 8B's performance! But how does it handle RAG, Routing, Query Planning, Text2SQL, Pydantic Program, and Agentic tasks? Thanks to @ravithejads, our benchmark cookbook offers an initial analysis: ✅ RAG…
A way to fix bad retrieval issues in RAG is to add a “reflection” layer on the retrieved context 💡 Corrective RAG (CRAG, Yan et al.) adds a retrieval eval module that categorizes gathered information into “Correct”, “Incorrect”, and “Ambiguous”. In the event that context is…
Two new powerful open-source rerankers from @JinaAI_! In reranking, your RAG system retrieves a larger initial set of relevant results using traditional vector search on embeddings, then applies a second level of ranking using a computationally more expensive approach that…
Two new powerful open-source rerankers from @JinaAI_! In reranking, your RAG system retrieves a larger initial set of relevant results using traditional vector search on embeddings, then applies a second level of ranking using a computationally more expensive approach that…
Join us on Wednesday for a webinar with @Redisinc! @tchutch94 and @seldo will talk about building a RAG application using Redis with semantic caching for instant answers to similar questions. Register for free today: redis.io/events/agentic…
Inspired by @AndrewYNg’s threads on agents in the past few weeks, I’m excited to share my talk from the @weights_biases conference that outlines how to build a general context-augmented research assistant 🧑🔬 Naive RAG is mostly good for simple questions in a single-shot setting.…
This project is sick 👇 - learn how to stream a knowledge graph step-by-step by hooking into LLM streaming, partial JSON parsing in @llama_index, and rendering with the @vercel AI SDK 🔥 Streaming text in the UI is standard for any chatbot experience, but streaming visual…
This project is sick 👇 - learn how to stream a knowledge graph step-by-step by hooking into LLM streaming, partial JSON parsing in @llama_index, and rendering with the @vercel AI SDK 🔥 Streaming text in the UI is standard for any chatbot experience, but streaming visual… https://t.co/ADXHHZcEsX
Andrej Karpathy @karpathy
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Jerry Liu @jerryjliu0
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Logan Kilpatrick @OfficialLoganK
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Laurie Voss @seldo
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OpenAI @OpenAI
3.4M Followers 0 Following OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPAollama run qwen:110b ollama.com/library/qwen:1…
I guess you might have tried the demo (huggingface.co/spaces/Qwen/Qw…). Now the weights of Qwen1.5-110B are out! Temporarily only the base and chat models, AWQ and GGUF quantized models are about to be released very soon! Blog: qwenlm.github.io/blog/qwen1.5-1… Hugging Face:…
🚀The past few weeks have been a whirlwind of travel and leading @MongoDB GenAI Hackathons. I've enjoyed meeting so many talented people, and learning from every project. 😀We had so much fun, and I'm happy to share this video from our 4/20 San Francisco hackathon, sponsored by…
Use `npx create-llama` to quickly create RAG applications using @llama_index. Now, you can show the sources of the retrieved context (think of @perplexity_ai). Watch the video below to see the feature in action. 📃 Code: github.com/run-llama/crea…
People are making $70-80K per year selling restaurant reservations in NYC on the secondary market 😯
It's a great honor to partner with @AndrewYNg @DeepLearningAI on this @MistralAI course. Super excited for the launch!
New short course with @MistralAI ! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
This project is sick 👇 - learn how to stream a knowledge graph step-by-step by hooking into LLM streaming, partial JSON parsing in @llama_index, and rendering with the @vercel AI SDK 🔥 Streaming text in the UI is standard for any chatbot experience, but streaming visual…
Open source AI Diagram Generator 🔥 Uses @llama_index Pydantic program with partial JSON parsing and @vercel AI SDK to send intermediate diagrams during generation for improved UX 🚀 Repo: github.com/rsrohan99/ai-d… Full tutorial under 2.5 minutes 👇
Build a full-stack LLM application with Llama 3 in one CLI command 🔥 create-llama is a cheatcode: github.com/run-llama/crea…
Of course, with @Meta's Llama 3 release, we also need a template that uses it in create-llama. Call `npx create-llama` and select the `nextjs-llama3` community template. Running with LlamaIndexTS, the Typescript version of @llama_index.
This stack (DREAM) is a must-reference resource for any AI engineer looking to setup principled experimentation/eval infrastructure for productionizing LLM apps. Use Ray, Ragas, @llama_index, and @MLflow to easily experiment with all the different parameter settings in a RAG…
DREAM - a Distributed RAG Experimentation Framework 🧑🔬 Building RAG comes with a lot of knobs that you need to tune, and it’s important that you setup the right experimentation infrastructure to build production RAG. This project by Aishwarya Prabhat provides a comprehensive…
Just gave a lightning talk at #PyTexas called "Using a Large Language Model (LLM) with your data: RAG in 5 minutes". Here's the notebook I presented! Shoutout to @llama_index at the end github.com/wdhorton/pytex…
Of course, with @Meta's Llama 3 release, we also need a template that uses it in create-llama. Call `npx create-llama` and select the `nextjs-llama3` community template. Running with LlamaIndexTS, the Typescript version of @llama_index.
Let's build a RAG app using MetaAI's Llama-3 (100% local):
🦙🔥
Firecrawl is awesome 🔥 One of the most popular data sources for any LLM app is web pages, whether you're building QA search or a browser agent. A huge blocker has been figuring out how to parse HTML appropriately. Leaving the raw tags in creates a ton of clutter and messes up…
Move over JSON/YAML. Markdown seems to be the clear winner when it comes to LLM interactions. Thank you Aaron. 🙏
@llama_index @ravithejads @LoganMarkewich @huggingface You have already made a "Cookbook"? Bro, I am just going through model details. Don't you guys sleep, or eat, or go out, or something?😉
Could be an artifact of how llama-3-instruct's chat format, but Llama 3 really likes new paragraphs. Happens on a variety of different questions and commands.
LLMs session Fully Connected kicking off with @jerryjliu0 and whats beyond RAG
Llama3 came out today, but tbh I've spent the whole day figuring out how to create interfaces on top of dynamic pydantic models and associated validation
“With Weave there will be expanded intergrations with Weights and Biases soon.” keynote session Applied LLM Breakout- Beyond RAG: Building Advanced Context-Augmented LLM Applications with @jerryjliu0, CEO of @llama_index.
With the release of @Meta Llama3, we're entering an era where most of the major models: GPT-4-turbo, Claude, and now Llama3 are multimodal by default.
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