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Embedchain

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About

Embedchain streamlines deploying personalized LLM apps in production, supporting conventional and configurable approaches. It simplifies personalized LLM application development by efficiently processing unstructured data, segmenting data, creating embeddings, and storing them in a vector database. It offers customizable APIs, integrates with popular LLMs (OpenAI, Anthropic, Claude, HuggingFace, Mistral), vector databases (Pinecone, Elasticsearch, OpenSearch, ChromaDB, Qdrant), and various data sources. It also provides deployment support (AWS, Azure, GCP, Fly.io, Render.com) and built-in observability for debugging. It's free to use and is backed by leaders from prominent AI companies.

Platform
Web
Keywords
personalizationdeploymentllmlarge language modelsproduction deployment api
Task
llm deployment

Features

vector stores

popular large language models

simple but customizable apis

from prototype to production

full control over your data flow

supports different use cases

personalizing llm responses

load data from anywhere (pdf, csv, postgres, notion, slack, discord, github, etc.)

Pricing Plans

Free
Free Plan

All features

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