init

README.md

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+
+# Vector Database POC
+
+## What it is
+
+- Development environment using Devcontainers
+
+- Stores document embeddings in ChromaDB
+
+- Retrieves relevant documents for a given query
+
+- Generates answers using Ollama
+
+## Getting started
+
+Download some models
+
+```bash
+ollama pull mxbai-embed-large # Used for embeddings
+
+ollama pull gemma3 # Used as LLM
+```
+
+Download python depedencies
+
+```bash
+pip install -r requirements.txt
+```
+
+## Run
+
+First you need to seed the database with a few documents
+
+```bash
+python script.py seed
+```
+
+And then you can do your search
+
+```bash
+python script.py search --query "What is NAF and how can it help?"
+```
+
+## Roadmap
+
+- Streaming responses (for real-time chat)
+
+- Metadata filtering (e.g., retrieving only recent docs)
+
+- Improved ranking (reranking results for better accuracy)