Skip to main content
At Alchemyst AI, we provide AI applications with the context they need to become smarter, more accurate, and more useful. This page explains the proposed scope and outline for the Context Processor, gives a concise top-level view of how the system works, highlights technical insights and their implications, and shows practical examples and use-cases.

​
Overview

Alchemyst automatically converts your data into retrievable context that enhances model reasoning and memory. The platform works as follows:
  1. Ingest: Bring data from databases, files, user interactions, and external APIs.
  2. Enrich & Index: Normalize and enrich data, then index it for fast retrieval by your agents or LLM prompts.
  3. Serve Context: Provide contextual snippets and memories to models at inference time.
  4. Orchestrate: Chain tools and services to create deterministic workflows and agent behaviors.
  5. Persist & Evolve: Store user- or application-level memory that can be updated and audited over time.

​
System Requirements

  1. Inputs: Documents (PDF, HTML, text, markdown, JSON), required metadata (organization, project, tags), and query text
  2. Outputs: AI responses augmented with source citations, relevance scores, and structured data when applicable
  3. Error Handling: Clear error messages and graceful degradation when issues occur

​
Key Features

  • Context API: Manage context data with user and organization-level access control, ensuring that your AI agents can maintain context and intent.
  • Context Proxy API: An OpenAI-compatible proxy API that offers intelligent context filtering and chat completion capabilities, enhancing message relevance processing.
  • MCP Support: Connect directly to Claude or OpenAI with MCPs, and get started with context-rich responses in 3 minutes!

​
Use Cases

  1. Customer Support Knowledge Base
  • Upload product documentation, FAQs, and support tickets
  • Get instant, accurate answers with source citations
  • Reduce response time and improve consistency
  1. Engineering Code Assistant
  • Index code repositories, design docs, and API specifications
  • Provide contextual code examples and explanations
  • Accelerate developer onboarding and productivity
  1. Content Summarization
  • Process long-form content across multiple documents
  • Generate executive summaries with source attributions
  • Maintain consistent messaging across teams

​
Getting Started

  1. Create an account on our platform: Alchemyst AI.
  2. After signing up, access the Context Processor from your dashboard.
  3. Upload your documents, files, or data to provide the AI with the background it needs.
  4. Use the Converse feature to start getting context-aware responses instantly.
  5. Integrate with your own applications using our APIs. For details, check the API Reference.

​
Conclusion

Alchemyst simplifies the process of giving AI models the right context so they can reason more accurately using your own data. By transforming raw information into structured, retrievable context, it bridges the gap between static knowledge and dynamic intelligence. Whether you’re enhancing customer support, powering developer tools, or building compliance systems, the Context Processor provides a reliable foundation for context-aware applications.