Sector-F-Labs/reservoir
Store all your LLM Interactions
This tool helps developers working with Large Language Models (LLMs) manage and persist conversation history. It takes in conversational messages, stores them, computes semantic embeddings, and creates connections between related messages. Developers can then retrieve specific messages, entire conversation threads, or semantically similar interactions, overcoming the limitations of stateless chat systems and improving LLM context management.
No commits in the last 6 months.
Use this if you are a developer building conversational AI applications and need a robust way to store, search, and manage LLM interaction history for better context and persistent memory.
Not ideal if you are looking for a user-facing chat application or a general-purpose database unrelated to LLM conversation management.
Stars
12
Forks
—
Language
Rust
License
BSD-3-Clause
Category
Last pushed
Sep 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Sector-F-Labs/reservoir"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
copilot-extensions/rag-extension
An example extension in go using retrevial-augmented generation
wangle201210/go-rag
基于eino+gf+vue实现知识库的rag
LlamaEdge/rag-api-server
A RAG API server written in Rust following OpenAI specs
timescale/pgai
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
ca-srg/ragent
RAGent - A CLI tool for building RAG systems with hybrid search (BM25 + vector) using Amazon S3...