Dellagi/FinAI-Agent-RAG-Spark-Pipeline
A sophisticated trading system leveraging local LLM deployment through Ollama, distributed computing with Apache Spark, and vector-based episodic memory using ChromaDB to make intelligent trading decisions.
Combines hybrid RAG retrieval (BM25 + dense embeddings with cross-encoder reranking) with Kafka stream processing for real-time multi-symbol analysis, backed by ChromaDB's semantic memory with importance scoring and automatic consolidation. Integrates Alpaca market data feeds and finance-tuned local LLM inference to aggregate multi-source research, technical indicators, and sentiment analysis into a unified trading decision pipeline with configurable relevance thresholds and temporal context filtering.
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Language
Python
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Last pushed
Feb 03, 2025
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