A RAG for Elixir

1. rag_time

   1 2 26 5.2 Python

   💁 Example code for a blog post series about using a RAG system on a local codebase.

   

   LangChain is a toolkit around all things LLMs, including RAG. We use it to parse our documents or codebase and generate a vector database from it. In our simple RAG system, we specify which file endings (.rb) and which programming language (Ruby) our documents have.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. langchain

   2 71 107,510 10.0 Jupyter Notebook

   🦜🔗 Build context-aware reasoning applications

   

   The ingestion of programming source code into an LLM with LangChain was initially only supported for Python, C and a few others languages. Then this issue proposed the usage of a parser library like Tree-sitter to facilitate adding support for many more languages. The discussion is worth reading.

4. Phoenix

   3 124 22,065 9.7 Elixir

   Peace of mind from prototype to production

   

   For testing purposes we will use our RAG system on a popular open source Elixir package, the Phoenix Framework.

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