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• API Reference + Docs
• OpenAPI specification
• Typescript SDK
• Python SDK

• 🔒 Self-Hosting in your VPC or on-prem: We have full self-hosting guides for AWS, GCP, Kubernetes generally, and docker compose available on our documentation page here.
• 🧠 Semantic Dense Vector Search: Integrates with OpenAI or Jina embedding models and Qdrant to provide semantic vector search.
• 🔍 Typo Tolerant Full-Text/Neural Search: Every uploaded chunk is vector'ized with naver/efficient-splade-VI-BT-large-query for typo tolerant, quality neural sparse-vector search.
• 🖊️ Sub-Sentence Highlighting: Highlight the matching words or sentences within a chunk and bold them on search to enhance UX for your users. Shout out to the simsearch crate!
• 🌟 Recommendations: Find similar chunks (or files if using grouping) with the recommendation API. Very helpful if you have a platform where users' favorite, bookmark, or upvote content.
• 🤖 Convenient RAG API Routes: We integrate with OpenRouter to provide you with access to any LLM you would like for RAG. Try our routes for fully-managed RAG with topic-based memory management or select your own context RAG.
• 💼 Bring Your Own Models: If you'd like, you can bring your own text-embedding, SPLADE, cross-encoder re-ranking, and/or large-language model (LLM) and plug it into our infrastructure.
• 🔄 Hybrid Search with cross-encoder re-ranking: For the best results, use hybrid search with BAAI/bge-reranker-large re-rank optimization.
• 📆 Recency Biasing: Easily bias search results for what was most recent to prevent staleness
• 🛠️ Tunable Merchandizing: Adjust relevance using signals like clicks, add-to-carts, or citations
• 🕳️ Filtering: Date-range, substring match, tag, numeric, and other filter types are supported.
• 👥 Grouping: Mark multiple chunks as being part of the same file and search on the file-level such that the same top-level result never appears twice

Are we missing a feature that your use case would need? - call us at 628-222-4090, make a Github issue, or join the Matrix community and tell us! We are a small company who is still very hands-on and eager to build what you need; professional services are available.

sudo apt install curl \
gcc \
g++ \
make \
pkg-config \
python3 \
python3-pip \
libpq-dev \
libssl-dev \
openssl

sudo pacman -S base-devel postgresql-libs

You can install NVM using its install script.

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash

You should restart the terminal to update bash profile with NVM. Then, you can install NodeJS LTS release and Yarn.

nvm install --lts
npm install -g yarn

mkdir server/tmp

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

cargo install cargo-watch

cp .env.analytics ./frontends/analytics/.env
cp .env.chat ./frontends/chat/.env
cp .env.search ./frontends/search/.env
cp .env.server ./server/.env
cp .env.dashboard ./frontends/dashboard/.env

Here is a guide for acquiring that.

1. Open the ./server/.env file
2. Replace the value for LLM_API_KEY to be your own OpenAI API key.
3. Replace the value for OPENAI_API_KEY to be your own OpenAI API key.

cat .env.chat .env.search .env.server .env.docker-compose > .env

./convenience.sh -l

We recommend managing this through tmuxp, see the guide here or terminal tabs.

cd clients/ts-sdk
yarn build

cd frontends
yarn
yarn dev

cd server
cargo watch -x run

cd server
cargo run --bin ingestion-worker

cd server
cargo run --bin file-worker

cd server
cargo run --bin delete-worker

cd search
yarn
yarn dev

• check that you can see redoc with the OpenAPI reference at localhost:8090/redoc
• make an account create a dataset with test data at localhost:5173
• search that dataset with test data at localhost:5174

Reach out to us on discord for assistance. We are available and more than happy to assist.

diesel::debug_query(&query).to_string();

Install Stripe CLI.

1. stripe login
2. stripe listen --forward-to localhost:8090/api/stripe/webhook
3. set the STRIPE_WEBHOOK_SECRET in the server/.env to the resulting webhook signing secret
4. stripe products create --name trieve --default-price-data.unit-amount 1200 --default-price-data.currency usd
5. stripe plans create --amount=1200 --currency=usd --interval=month --product={id from response of step 3}