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
……
Youtube: https://
youtu.be/uRya4zRrRx4?fe
ature=shared&t=1183
…
@langchain
-
LLMCompiler: Fast Parallel Agent Task Execution with LangGraph
By
–
-
Chat Application with LangChain, LLMs, Streamlit SQL Database
By
–
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
… -
Building Chatbots with LangChain and OpenAI Guide
By
–
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
… -
Building RAG Chatbot with Upstash Vector Stack
By
–
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
… -
ReWOO Agents: Reasoning Without Observations Framework
By
–
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
…
Python: https://
github.com/langchain-ai/l
anggraph/blob/main/examples/rewoo/rewoo.ipynb
…… -
Website Chatbot with LangChain GPT-4 and Streamlit
By
–
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
-
Scaling RAG Pipelines for Production Workloads
By
–
Scaling RAG for Production This tutorial provides an example of how you can develop a RAG pipeline with production workloads in mind from the start, using the right tools – ones that are designed to scale your application. Heavily uses Ray https://
hub.superlinked.com/scaling-rag-fo
r-production
… -
Plan and Execute Agents with LangGraph Tutorial
By
–
Plan and Solve Agent 𝌣 Have your agent's ever gotten caught in a loop? They may get better performance through a “divide-and-conquer” approach and explicit planning. This tutorial walks through building a simple “Plan and execute”-style agent in LangGraph. The Planner LLM
-
Evaluating RAG Applications with LangChain and RAGAS
By
–
RAG Evaluation with LangChain v0.1.0 and RAGAS v0.1 Our friends at @AIMakerspace hosted an AWESOME webinar this past week on evaluating RAG apps with LangChain and RAGAS You gotta learn how to evaluate RAG!
-
Building Knowledge Graphs From Text Using LangChain
By
–
Build Knowledge Graph From TextData using LangChain Converting text to knowledge graphs can be helpful for both visualizing the data and allowing for structured querying later on This blog goes through how to use LLMs to extract knowledge triplets https://
medium.com/@mahimairaja/b
uild-knowledge-graph-from-textdata-using-langchain-under-2min-ce0d0d0e44e8
…