Essofore Semantic Search - Self-Hosted Document Store for RAG

Essofore is a semantic search engine and document store that runs entirely within your AWS infrastructure. Unlike keyword-based search, Essofore understands the meaning behind your queries, delivering more relevant results for natural language questions. Deploy it as an AMI and start building enterprise search or Retrieval-Augmented Generation (RAG) applications without sending your data to any third party.

Essofore is built for development teams and platform engineers who need a search backend that is simple to deploy and operate. Whether you are building an internal knowledge base for your engineering team, a customer-support search tool, or a document retrieval layer for RAG pipelines feeding large language models, Essofore provides the semantic understanding your users expect.

• Semantic Query Understanding - Returns results based on meaning rather than exact keyword matches, improving relevance for natural language queries across technical documentation, policy archives, and support content.
• Self-Hosted on Your AWS Account - Runs as an AMI within your VPC. Your documents and indexes never leave your infrastructure, giving you full control over data residency and access.
• Developer-Friendly Design - Designed for fast integration without the configuration complexity of traditional enterprise search platforms. Ingest documents and start querying through a straightforward API.
• RAG-Ready Architecture - Use Essofore as the retrieval layer in Retrieval-Augmented Generation workflows. Pair it with Amazon Bedrock, LangChain, or your preferred LLM framework to ground model responses in your proprietary documents.

• Amazon S3 - Ingest documents stored in S3 buckets for indexing.
• Amazon Bedrock - Use Essofore as a retrieval backend for RAG pipelines powered by Bedrock foundation models.
• VPC Deployment - Runs entirely within your VPC with no outbound data calls, supporting private subnet and security group configurations.

An engineering team with thousands of internal technical documents deploys Essofore on a single EC2 instance within their VPC. Team members query the system in natural language - for example, "How do we handle authentication token refresh?" - and receive semantically relevant document passages rather than keyword-matched noise. The same retrieval endpoint feeds an LLM-based assistant that generates contextual answers grounded in internal documentation.

Subscribe to Essofore Semantic Search on AWS Marketplace, launch the AMI in your preferred region, and begin indexing documents. Visit our documentation at https://www.essofore.com/docs  for detailed setup instructions and API reference.