Model Prompt Parser, System Prompt Agents & RAG Vector Storage
Enterprise AI integration module connecting LLM APIs, vector embedding search, prompt template parsers, and structured JSON output validators.
Module Overview & Functionality
An AI assistants and LLM module by Havotix is an AI integration software component for enterprise applications. It connects OpenAI/Claude APIs with pgvector/Pinecone vector databases for RAG search, enforces Pydantic JSON output validation, and manages role-based agent tools.
Integration Speed Acceleration: Reduces Development Time by 50%Production-Grade Code Component
Module Specifications & Performance Standards
Engineering Highlights
- Vector embedding indexing (pgvector / Pinecone) providing sub-100ms semantic document retrieval
- Strict system prompt enforcement with automated Pydantic / Zod schema validation on model responses
- Multi-LLM provider switching (OpenAI, Anthropic Claude, Llama 3) with fallback redundancy
- Tool-calling agent execution framework enabling LLMs to run database queries and API calls
Supported Stack & Libraries
PythonFastAPIOpenAI APIAnthropic Claude APIpgvectorPineconeLangChain
Integration FormatClean Microservice API Module or Embedded Direct Codebase Component
Need this module integrated into your product?
Havotix engineers can plug this pre-tested module directly into your existing or new application codebase.
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