SaaSHub helps you find the best software and product alternatives Learn more →
Langchain-embeddings Alternatives
Similar projects and alternatives to langchain-embeddings
-
harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
strands-agent-samples
🤖 Production-ready samples for building multi-modal AI agents that understand images, documents, videos, and text using Amazon Bedrock and Strands Agents. Features Claude integration, MCP tools, streaming responses, and enterprise-grade architecture.
-
ProTaska-GPT
Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.
-
gpt-vector-agent
🧩 Interfacing with different LLMs-chains, vectorstore databases, and autonomous agents.
-
rag-postgresql-agent-bedrock
This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon
-
vector-search-azure-cosmos-db-postgresql
This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.
-
-
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
-
llama-cookbook
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
langchain-embeddings discussion
langchain-embeddings reviews and mentions
-
Build Agentic Video RAG with Strands Agents and Containerized Infrastructure
⚠️⚠️⚠️⚠️Infrastructure Requirement: Deploy the container-video-embeddings CDK stacks before running this notebook. ⚠️⚠️⚠️⚠️
-
Build Agentic Video RAG with Strands Agents and Amazon Aurora PostgreSQL - Local Infrastructure
Ready to transform your code into agentic tools? The complete implementation is available in the LangChain embeddings repository.
-
Ask Your Video: Build a Containerized RAG Application for Visual and Audio Analysis
Open the notebook 01_query_audio_video_embeddings.ipynb and make queries directly to Aurora PostgreSQL, similar to what we did in the previous blog.
-
Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL
To generate embeddings for image/pdf with pgvector and Amazon Aurora.
-
Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain
Búsqueda semántica con LangChain, Amazon Titan Embeddings y FAISS:
-
Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL
To generate embeddings for the text content of PDF files with FAISS.
-
From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL
Continue to Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
-
Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
git clone https://github.com/build-on-aws/langchain-embeddings
-
A note from our sponsor - SaaSHub
www.saashub.com | 19 Aug 2026
Stats
build-on-aws/langchain-embeddings is an open source project licensed under MIT No Attribution which is not an OSI approved license.
The primary programming language of langchain-embeddings is Jupyter Notebook.
Popular Comparisons
- langchain-embeddings VS ProTaska-GPT
- langchain-embeddings VS gpt-vector-agent
- langchain-embeddings VS rag-postgresql-agent-bedrock
- langchain-embeddings VS harness-sdk
- langchain-embeddings VS vector-search-azure-cosmos-db-postgresql
- langchain-embeddings VS ml
- langchain-embeddings VS strands-agent-samples
- langchain-embeddings VS generative-ai
- langchain-embeddings VS llama-cookbook