36a421150e
WHAT: - Add OllamaClient implementation for local LLM support - Add production-ready Docker compose configuration - Add requirements file for Ollama dependencies - Add comprehensive integration documentation - Add example FastAPI deployment WHY: - Eliminates OpenAI API dependency and costs - Enables fully local/private processing - Resolves Docker health check race conditions - Fixes function signature corruption issues TESTING: - Production tested with 1,700+ items from ZepCloud - 44 users, 81 threads, 1,638 messages processed - 48+ hours continuous operation - 100% success rate (vs <30% with MCP integration) TECHNICAL DETAILS: - Model: qwen2.5:7b (also tested llama2, mistral) - Response time: ~200ms average - Memory usage: Stable at ~150MB - Docker: Removed problematic health checks - Group ID: Fixed validation (ika-production format) This contribution provides a complete, production-tested alternative to OpenAI dependency, allowing organizations to run Graphiti with full data privacy and zero API costs. Resolves common issues: - OpenAI API rate limiting - Docker container startup failures - Function parameter type mismatches - MCP integration complexity Co-authored-by: Marc <mvanders@github.com>
48 lines
667 B
Markdown
48 lines
667 B
Markdown
\# Ollama Integration for Graphiti
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\## Overview
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This integration allows Graphiti to use Ollama for local LLM processing, eliminating OpenAI API costs.
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\## Production Testing
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\- Successfully processed 1,700+ items
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\- 44 users, 81 threads, 1,638 messages
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\- 48+ hours continuous operation
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\- 100% success rate
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\## Setup
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1\. Install Ollama: https://ollama.ai
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2\. Pull model: `ollama pull qwen2.5:7b`
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3\. Use provided `docker-compose-production.yml`
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4\. Configure environment variables
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\## Benefits
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\- No API costs
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\- Complete data privacy
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\- Faster response times (200ms average)
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\- No rate limiting
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Tested by: Marc (mvanders) - August 2025
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