The Bloom
Pittstown, New Jersey
Social Impact / Community Development
Amazon Bedrock Claude 3.5 Sonnet Claude 3 Haiku Amazon Titan Embeddings Amazon OpenSearch Serverless AWS Lambda Amazon S3 Amazon EventBridge Amazon CloudWatch AWS IAM Next.js
The Bloom
Pittstown, New Jersey
Social Impact / Community Development
Amazon Bedrock Claude 3.5 Sonnet Claude 3 Haiku Amazon Titan Embeddings Amazon OpenSearch Serverless AWS Lambda Amazon S3 Amazon EventBridge Amazon CloudWatch AWS IAM Next.js
The Bloom is a social impact organization that connects community members with experts, educational resources, and events across areas like climate finance, social justice, and community development. As their platform and content library scaled, a rigid keyword search engine made it increasingly difficult for members to find what they actually needed, stalling the connections the platform was built to create. Avahi designed and deployed a fully serverless, Alpowered search and discovery platform on AWS, combining semantic search, RAG-powered natural language query interpretation, and an automated event indexing pipeline. The result is an intelligent, self-maintaining community platform that keeps itself current and accurate, with no ongoing operational overhead.
The Bloom is a Pittstown, New Jersey-based social impact organization dedicated to connecting community members with the people, knowledge, and opportunities relevant to their work. Operating across focus areas including climate finance, social justice, and community development, The Bloom runs a curated platform that brings together expert practitioners, educational content, and events for a mission-driven community. As a lean organization in the social impact space, The Bloom depends on its platform’s ability to make meaningful connections efficiently and at a sustainable cost.
The Bloom’s core value proposition is connection: putting the right expert, resource, or event in front of the right community member at the right time. As theplatform’s library of profiles, documents, articles, reports, and events grew, that promise became harder to keep. A traditional keyword search engine – matching terms against text fields – is too rigid to handle the way people in a specialized, mission-driven community actually search. A query like “Who can I speak to about climate finance?” is not a keyword lookup. It is an expression of intent, context, and need that requires semantic understanding to answer well.
The gap between what community members were asking and what keyword search could surface was a discoverability problem with compounding consequences. Members who couldn’t find relevant experts or resources disengaged.
Events went unattended not because they lacked relevance, but because they were invisible to the people who would have valued them most. For a platform whose success depends entirely on facilitating high-quality connections, a search experience that couldn’t keep pace with a growing, diverse content library was a direct threat to the organization’s mission and member retention.
The events challenge added a further operational dimension. Keeping an event index accurate and current required manual effort, and for a lean social impact organization, that overhead was not scalable. Without automation, the event discovery experience would always lag behind reality, eroding trust in the platform’s usefulness over time.
AWS offered the combination of managed Al services, serverless compute, and vector search infrastructure that made it possible to build a sophisticated discovery platform without the cost and complexity of custom model deployment or self-managed infrastructure. Amazon Bedrock provided direct access to frontier language models – Claude 3.5 Sonnet, Claude 3 Haiku, and Titan Embeddings – through a single, governed API, eliminating the need to manage model hosting while preserving the ability to implement automatic fallback logic across models. This was particularly important for an organization like The Bloom, where service reliability and operational simplicity are both essential.
Amazon OpenSearch Serverless provided a fully managed vector search layer capable of running hybrid queries – combining traditional keyword scoring with KNN vector similarity – without requiring The Bloom to provision or maintain search cluster infrastructure. Paired with AWS Lambda, Amazon EventBridge, and S3 event notifications, the full pipeline runs on a serverless architecture that scales to demand and keeps operational costs minimal. For a social impact organization operating lean, an estimated monthly pipeline cost of $15-20 made AWS the only platform that could deliver this level of Al capability at a sustainable price point.
The Bloom needed more than a vendor who could configure AWS services. They needed a partner who understood how to design an Al architecture that was simultaneously powerful, reliable, and operationally sustainable for a mission-driven organization with limited engineering resources. That combination of technical sophistication and practical judgment is what Avahi brought to the engagement.
Avahi’s approach to resilience engineering was a differentiating factor from the outset. Rather than building a pipeline that depended on any single external source or model behaving predictably, Avahi designed layered redundancy into every critical workflow, a web content extraction, event scraping, and Al model calls alike. This meant The Bloom would geta platform that degraded gracefully under real-world conditions rather than failing outright when an external site blocked a crawler or a model hit a rate limit.
Avahi also brought the experience to architect for client independence. Full technical documentation, a deployment guide, and a clean serverless architecture meant The Bloom’s team could maintain and extend the platform without ongoing external dependency, a critical consideration for an organization that needed a durable solution, not a managed service relationship.
Avahi built a fully serverless Al-powered discovery platform on AWS, operating across threе interconnected search and ingestion workflows, all unified in a single interface accessible through a Next.js frontend.
Avahi delivered a fully deployed, self-maintaining Al discovery platform that fundamentally changes how The Bloom’s community members connect with experts, resources, and events. Natural language queries — the way people actually search – now return semantically relevant results across all three content types, replacing the rigid limitations of keyword matching with genuine intent-based discovery. The automated event pipeline eliminates the manual effort that previously stood between The Bloom’s Luma calendar and a searchable, up-to-date event index.
For a lean social impact organization, the architecture’s cost profile is as significant as its capabilities. The platform operates on fully managed, serverless AWS infrastructure – purposebuilt to scale without operational overhead and priced to remain sustainable long after the engagement closed.
Let’s explore your high-impact AI opportunities together in a complimentary session
Let’s explore your high-impact AI opportunities together in a complimentary session
Let’s explore your high-impact AI opportunities together in a complimentary half-day session
