We're thrilled to announce LangChain now has deeper integration with Google Cloud databases. Developers now have access to a suite of open source LangChain packages that are more flexible and customizable when working with Google Cloud's database portfolio. Read more below!
@langchain
-
Claude-3 Models Add Vision Capabilities to LangChain
By
–
Anthropic Multimodal Inputs @AnthropicAI
's state-of-the-art new Claude-3 models can reason about images as well as text! We've added support for this awesome new capability in LangChain, allowing you to create vision-based AI apps. Bump to the latest -
Long Context RAG Design with RAPTOR and Claude 3
By
–
Building long context RAG from scratch with RAPTOR + Claude3 (Video) The rise of long context LLMs + embeddings will change RAG design. Instead of splitting docs + indexing doc chunks, it's feasible to index full docs. But, there is a challenge to flexibly answer lower-level
-
Anthropic Releases Tool Calling for Claude-3 Models
By
–
Anthropic Tool Calling We've been hacking away with the impressive new @AnthropicAI Claude-3 models, and shipped an experimental wrapper for consistently structured Pydantic/JSON outputs in both Python and JS! Official tool calling support is on the horizon, but since
-
Open Source Libraries Documentation Feedback Initiative
By
–
Don't like our docs? Let us know! We've recently added / buttons to each documentation page for our open source libraries Help us improve our docs by quickly leaving us invaluable feedback!
-
Chain-of-Table: Google Framework for Tabular Data QA
By
–
Chain-of-Table This paper from Google proposes a new framework to do question answering over tabular data This framework involves a series of prompts, flows, and tool calling… perfect for LangGraph! s/o @HrubyOnRails for the implementation! Code: https://
github.com/CYQIQ/MultiCoT -
Deploy Mistral Large to Azure with LangChain Python
By
–
Deploy Mistral Large to Azure and create a conversation with Python and LangChain Great blogs from our friends at @neondatabase on how to deploy Mistral Large in an enterprise-friendly Azure container and then use with LangChain Blog: https://
neon.tech/blog/deploy-mi
stral-large-to-azure-and-chat-with-langchain
… -
LangChain Open Source Roadmap: Agents, Structured Output, Streaming
By
–
March 2024 LangChain OSS Plans Sharing our open source roadmap for this upcoming month. Of particular focus – structured output, query analysis, agents, streaming, and documentation Would love any feedback and/or help! https://
github.com/langchain-ai/l
angchain/discussions/18547
… -
Query Analysis Techniques for RAG Systems Optimization
By
–
Query Analysis What do the following methods have in common? StepBack Prompting
HyDE
Query Structure They are all examples of **query analysis**, a technique to optimize queries to a RAG system We've added a brand new docs section on this! https://
python.langchain.com/docs/use_cases
/query_analysis/
… -
Deploying LangChain Apps with LangServe on GCP
By
–
Deploying LangChain Apps with LangServe on GCP LangServe is the easiest way to deploy LangChain applications. It comes with a nice playground, batch and streaming endpoints Great article by Tahreem Rasul diving into how to deploy it on GCP https://
medium.com/@tahreemrasul/
deploying-langchain-apps-with-langserve-on-gcp-1908476cdc49
…