mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +00:00
d39b4b61b6
Ran the following bash script for all templates
```bash
#!/bin/bash
set -e
current_dir="$(pwd)"
for directory in */; do
if [ -d "$directory" ]; then
(cd "$directory" && poetry lock --no-update)
fi
done
cd "$current_dir"
```
Co-authored-by: Bagatur <baskaryan@gmail.com>
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|---|---|---|
| .. | ||
| docs | ||
| rag_chroma_private | ||
| tests | ||
| LICENSE | ||
| poetry.lock | ||
| pyproject.toml | ||
| rag_chroma_private.ipynb | ||
| README.md | ||
Private RAG
This template performs privae RAG (no reliance on external APIs) using:
- Ollama for the LLM
- GPT4All for embeddings
LLM
Follow instructions here to download Ollama.
The instructions also show how to download your LLM of interest with Ollama:
- This template uses
llama2:7b-chat - But you can pick from many here
Set up local embeddings
This will use GPT4All embeddings.
Chroma
Chroma is an open-source vector database.
This template will create and add documents to the vector database in chain.py.
By default, this will load a popular blog post on agents.
However, you can choose from a large number of document loaders here.