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Question about Langchain orchestration for Large Language models
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## Context
I have a LangGraph workflow with an agent node that uses `ChatBedrockConverse` with `Claude Sonnet 4 V1`. The agent uses a tool that also makes LLM calls the same way. I'm running 2 paralle...
AWS recently added Deepseek v3.1 in certain regions and I saw that the model had tool calling support so I tried to make use of it with Langchain using bedrock converse as the provider for the model, ...
We are experiencing an intermittent issue where some **AWS Bedrock Runtime API** calls fail to complete on the first attempt and must wait for the full configured `read_timeout` duration (**currently ...
So I am testing out the DeepSeek-R1 671B model in Amazon Bedrock. I am getting model responses which appears to be all messed up with the "tags". See examples below using LangChain and LangGraph.
```...
I am using Amazon Bedrock LLM models via LangChain, specifically with ChatBedrockConverse from the langchain_aws module. My FastAPI application calls the bedrockConverse function using the following s...
I do have AmazonBedrockFullAccess policy attached in my IAM, and still invocation returns:
```
Error 403: You don't have access to the model with the specified model ID.
```
I am totally confused. I ...
Hi,
I have subscribed to access several models in Amazon Bedrock, including Anthropic ones and accesses have already been granted.
However, when accessing them through langchain, it gives the followi...
What is Best for GenAI Solution to use OpenSearch or Vector stores feature in LangChain?
asked 2 years ago
Not able to connect from Sagemaker Notebook to RDS( MS SQL Server Web Edition) connection using SQLDatabase from langchain_community.utilities.
```
from langchain_community.utilities import SQLDataba...
Hello,
I'm using NeptuneGraph capability from langchain to connect to our Neptune cluster, seeing the following issue only with out Prod Cluster:
{'message': 'Could not get schema for Neptune databas...
I am using OpenSearch VectorSearch Serverless along with Bedrock Titan for embedding generation. To optimize storage and manage vector data efficiently, I'm integrating LangChain's indexing capabiliti...
Hi I wanted to use bedrock through Langchain on gcp. How to configure my aws settings for the same..!?
Thanks.