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40 changes: 40 additions & 0 deletions examples/mongovector-vectorstore-example/README.md
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# Using MongoDB Atlas as a Vector Store with OpenAI Embeddings

This project illustrates how to leverage MongoDB as a vector store for performing similarity searches, utilizing OpenAI embeddings within a Go application. It integrates the LangChainGo library, OpenAI's API, and MongoDB to create an efficient vector database for semantic search.


For more information on getting started with MongoDB Atlas, visit the [MongoDB Atlas Getting Started Guide](https://www.mongodb.com/products/platform/atlas-database). You can also use the following Docker image to containerize a free (M0) tier: [MongoDB Atlas Local](https://hub.docker.com/r/mongodb/mongodb-atlas-local).

## What This Tutorial Covers

1. **MongoDB Setup:**
- Connects to a MongoDB Atlas instance using a specified connection string.
- Automatically checks for and creates a vector search index on the collection if it is not already present, ensuring compatibility with OpenAI's embedding model.

2. **OpenAI Embeddings Initialization:**
- Establishes an embeddings client through the OpenAI API.
- Requires the OpenAI API key to be set as an environment variable for authentication.

3. **Creating the Vector Store:**
- Connects to the MongoDB database and sets up a vector store that utilizes OpenAI embeddings for document representation.

4. **Inserting Sample Data:**
- Adds a collection of documents (cities) along with their metadata into the vector store.
- Each document contains information such as the city name, population, and area.

5. **Executing Similarity Searches:**
- Demonstrates various types of similarity searches, including:
a. A basic search for documents related to "japan".
b. A search for cities in South America that meet a specified score threshold.
c. A search that combines score thresholds with metadata filtering.

## Running the Example

1. Configure your environment by setting the MongoDB URI and OpenAI API key:
```bash
export MONGODB_URI=<your_mongodb_uri>
export OPENAI_API_KEY=<your_openai_api_key>

2. If you want to run this using docker-compose.yml, `MONGODB_URI` should be `localhost:27017`: `docker-compose up -d`

3. Run the program: `go run main.go`
19 changes: 19 additions & 0 deletions examples/mongovector-vectorstore-example/docker-compose.yml
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version: '3.8'

services:
mongodb-atlas-local:
image: mongodb/mongodb-atlas-local:latest
container_name: mongodb-atlas-local
ports:
- "27017:27017"
environment:
DO_NOT_TRACK: 1 # Set to 1 to opt out of telemetry
volumes:
- ./init-scripts:/docker-entrypoint-initdb.d # Directory for initialization scripts
- ./logs:/var/log/mongodb # Directory for logs (optional)
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"

23 changes: 23 additions & 0 deletions examples/mongovector-vectorstore-example/go.mod
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module github.com/tmc/langchaingo/examples/mongovector-vectorstore-example

go 1.23.1

require (
github.com/tmc/langchaingo v0.1.13-pre.0
go.mongodb.org/mongo-driver/v2 v2.0.0-beta1
)

require (
github.com/dlclark/regexp2 v1.10.0 // indirect
github.com/golang/snappy v0.0.4 // indirect
github.com/google/uuid v1.6.0 // indirect
github.com/klauspost/compress v1.17.6 // indirect
github.com/pkoukk/tiktoken-go v0.1.6 // indirect
github.com/xdg-go/pbkdf2 v1.0.0 // indirect
github.com/xdg-go/scram v1.1.2 // indirect
github.com/xdg-go/stringprep v1.0.4 // indirect
github.com/youmark/pkcs8 v0.0.0-20181117223130-1be2e3e5546d // indirect
golang.org/x/crypto v0.23.0 // indirect
golang.org/x/sync v0.7.0 // indirect
golang.org/x/text v0.15.0 // indirect
)
128 changes: 128 additions & 0 deletions examples/mongovector-vectorstore-example/go.sum
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google.golang.org/api v0.183.0/go.mod h1:q43adC5/pHoSZTx5h2mSmdF7NcyfW9JuDyIOJAgS9ZQ=
google.golang.org/genproto v0.0.0-20240528184218-531527333157 h1:u7WMYrIrVvs0TF5yaKwKNbcJyySYf+HAIFXxWltJOXE=
google.golang.org/genproto v0.0.0-20240528184218-531527333157/go.mod h1:ubQlAQnzejB8uZzszhrTCU2Fyp6Vi7ZE5nn0c3W8+qQ=
google.golang.org/genproto/googleapis/api v0.0.0-20240604185151-ef581f913117 h1:+rdxYoE3E5htTEWIe15GlN6IfvbURM//Jt0mmkmm6ZU=
google.golang.org/genproto/googleapis/api v0.0.0-20240604185151-ef581f913117/go.mod h1:OimBR/bc1wPO9iV4NC2bpyjy3VnAwZh5EBPQdtaE5oo=
google.golang.org/genproto/googleapis/rpc v0.0.0-20240604185151-ef581f913117 h1:1GBuWVLM/KMVUv1t1En5Gs+gFZCNd360GGb4sSxtrhU=
google.golang.org/genproto/googleapis/rpc v0.0.0-20240604185151-ef581f913117/go.mod h1:EfXuqaE1J41VCDicxHzUDm+8rk+7ZdXzHV0IhO/I6s0=
google.golang.org/grpc v1.64.0 h1:KH3VH9y/MgNQg1dE7b3XfVK0GsPSIzJwdF617gUSbvY=
google.golang.org/grpc v1.64.0/go.mod h1:oxjF8E3FBnjp+/gVFYdWacaLDx9na1aqy9oovLpxQYg=
google.golang.org/protobuf v1.34.1 h1:9ddQBjfCyZPOHPUiPxpYESBLc+T8P3E+Vo4IbKZgFWg=
google.golang.org/protobuf v1.34.1/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos=
gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY=
gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
sigs.k8s.io/yaml v1.3.0 h1:a2VclLzOGrwOHDiV8EfBGhvjHvP46CtW5j6POvhYGGo=
sigs.k8s.io/yaml v1.3.0/go.mod h1:GeOyir5tyXNByN85N/dRIT9es5UQNerPYEKK56eTBm8=
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